Expertise
Smart systems with iot & ML
Internet of Things (IoT)
Is a dynamic global network infrastructure with self configuring capabilities based on standard and inter operable communication protocols where physical and virtual things have identities, physical attributes and virtual personalities use intelligent interface and seamlessly integrated into the information network. IoT is the inter networking of physical devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. In 2013 the Global Standards Initiative on Internet of Things (IoTGSI) defined the IoT as the infrastructure of the information society. The traditional fields of embedded system, wireless sensor networks, control system, automation systems are together interconnected to form the IoT. That means the internet of things builds over the revolutionary success of mobile and internet network. Services and products that cant be thought even a few decades back, becomes reality now a days. All of this is due to the wide availability of internet and creation of devices with Wi-Fi abilities. Technology costs are going down, and smart-phones are capable of doing almost anything with their inbuilt features and apps. Thick and fast, IoT integrating diverse smart devices with seamless communication standards and offers pragmatic services by leveraging the processing capabilities of these devices. Vaguely IoT is evolving around five basic areas: Sensor technologies, Local processing, Networking models, Data Science and Predictive Technologies, Machine Learning and Security.
Therefore, the potential is enormous where the interfacing of any gadget to the Internet (and/or to each other) is now a possibility with integrated intelligence to seance the environment and act accordingly. This incorporates everything from the Humans to cellphones, coffee machines, dish-washers, earphones, lights, wearable gadgets and just about whatever else anybody can consider. Communication will be between human-human, human-things, and things-things. Today this has given a vision of bigger things like IoT enabled interconnected Cyber Physical Systems (CPS).
Characteristics
Some of the characteristics of IoT are Inter connectivity, Things related Services, Heterogeneity, Dynamic Changes, Enormous Scale etc. Today rapidly development of electronic gadgets with computing capabilities, storage along with embedding short range transceivers enabling new form of communications between people and things and things themselves. This new phenomena has added a new dimension to the world of information and communication technologies (ICTs). That is why IoT makes it possible from anytime, any place connectivity for anyone, we will now have connectivity for anything.
So Internet of Things is a technological revolution which is totally a dynamic in nature. It has been converging multiple technologies creating new dimension of services that improves the quality of life of consumers and productivity of enterprises. From the consumer point of view, the IoT has the potential applications such as deliver solutions that dramatically improve energy efficiency, security, health, education, connected cars, smart homes, smart retails and many other aspects of daily life. For enterprises, IoT can underpin solutions that improve decision-making and productivity in manufacturing, retail, agriculture and other sectors.
Technologies to support IoT
Some of the technologies converging to support and enable IoT applications are architecture, Identification, Communications, Network Technology, Network Discovery, Software and algorithm, Hardware Technology, Data and signal processing, Discovery and Search Engine, Net-work Management, Power and Energy Storage, Cyber Security, Information security etc. Challenges and research areas of IoT includes but not limited to
Robustness
Privacy
Cloud computing
Cyber physical system
Autonomic Computing
Social Networks
Security
Research Areas in IoT
IoT represents a vision in which the Internet extends into the real world embracing everyday objects. Physical items are no longer disconnected from the virtual world, but can be controlled remotely and can act as physical access points to Internet services. The IoT vision is grounded in the belief that the steady advances in microelectronics, communications and information technology witnessed in recent years will continue into the foreseeable future. "Smart" objects play a key role in the IoT vision, since embedded communication and information technology have the potential to revolutionize the utility of these objects. Using sensors, they are able to perceive their context and via built-in networking capabilities they would be able to communicate with each other, access Internet services and interact with people.
Design and development of Architecture
IoT Network Design and Architecture
1) IoT network design and Cloud networks
2) Networking technologies for data centres
3) Software defined networking
4) Network virtualization technologies
5) Embedded system architecture
6) Adaptive and cognitive networks
7) Wireless networks for IoT and Cloud
8) IoT-enabled home networks.
9) IoT and SMART cities
IoT enabled Software Architectures and Middleware
1) Software architecture for IoT and cloud
2) Inter-cloud interfaces
3) Programming models
4) Services provisioning and management
5) Hybrid cloud infrastructure for IoT
6) IoT based Application development
7) SMART censors, Use cases and Experiences
8) Requirements analysis and modelling
9) IoT Service integration
10) Middleware for cloud and IoT
11) IoT based data acquisition, knowledge management and semantics.
Software-defined Networking
1. Software-defined Networking (SDN) support for Cloud and IoT
2. IoT Network virtualization
3. Software defined data and storage
4. SDN models and architectures
5. QoS evaluation
6. SDN scalability and optimization
7. SDN security and privacy.
Networking and Communication Protocols
1. Transmission protocols and algorithms
2. Communication protocols for data centres
3. Software defined network protocols
4. Energy-efficient networks
5. Network security and privacy
6. P2P and overlay networks for IoT and cloud
7. Measurement and simulations.
Design and development of Services
Mobile Cloud Services
1) Mobile cloud and IoT services
2) Mobiles as censors, networks and applications
3) Mobile cloud and IoT models
4) Spatial Mobility, geo-location and management
5) Mobile multimedia services
6) Pervasive and ubiquitous services in cloud and IoT
7) Mobile service architectures and frameworks.
Context-awareness and Location-awareness
1) Context-awareness in cloud and IoT
2) Location-aware services and Spatial data integration
3) Cloud-based context-aware IoT
4) Self adaptive services
5) Context-aware models and protocols
6) Context-aware services - transportation system, buildings, roads, water supply, environment and healthcare.
Data Driven Knowledge management and Artificial Intelligence
Data and Knowledge Management
1) Data models, Tiny/small databases for IoT devices
2) Knowledge management, Rules, Semantics and Ontologies.
Intelligent Systems for Cloud and Services Computing
1. Agent-based systems and applications
2. Semantic web and services
3. Ontological models
4. Intelligent resource virtualization
5. Knowledge management
6. Intelligent Service Level Agreement (SLA) and Quality assurance.
System Performance
Security, Privacy and Trust
1) IoT and cloud security
2) Privacy issues
3) Reliability of cloud and IoT
4) Accountability and audit
5) Authentication and authorization
6) Cryptography; Identity theft; Data loss or leakage
7) Trust management
Performance Evaluation and Modelling
1. Performance modelling in cloud and IoT
2. Evaluation techniques
3. Performance monitoring
4. Scheduling and application workflows
5. Scalability in cloud and IoT
6. Fault-tolerance and recovery
7. Capacity planning and elasticity
Application and Smart Solution
IoT Services and Applications
1. Architectures of IoT services
2. IoT application areas, IoT and M2M
3. Tools and technologies for IoT services
4. Business models for IoT applications
5. Energy optimization in IoT
6. Modeling and simulation of IoT applications;
SMART Environment
1. Smart cloud and IoT
2. Smart homes and cities
3. Adaptive user interfaces for smart applications
4. Interconnection of smart devices (things)
5. Dynamic urban communications
6. Indoor communications
7. SMART healthcare and assisted living
8. SMART transportation and vehicles
9. SMART phones applications and services
Energy Efficiency
1. Energy efficient service provisioning
2. Energy efficient resource utilization
3. Data storage and processing
4. Energy-efficient networking
5. SMART devices and tools
6. Energy metrics and benchmarks
7. Energy-aware hardware.
Clouds at the Edges
1. Cloud at the Edges
2. Distribution of data centres at network edges
3. Hierarchy of computing capacity and centralised clouds
4. IoT applications and network edges
5. Processing of IoT data at network edges
6. Optimization of data traffic and latencies.
7. industrial applications of IoT and cloud
Virtualization
1. Architectures and models
2. Virtualization of cloud resources
3. Network virtualization
4. Cloud virtualization and IoT
5. Performance of virtualization
6. Reliability and security.
Medical imaging & AI
Internet of Things (IoT)
Is a dynamic global network infrastructure with self configuring capabilities based on standard and inter operable communication protocols where physical and virtual things have identities, physical attributes and virtual personalities use intelligent interface and seamlessly integrated into the information network. IoT is the inter networking of physical devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. In 2013 the Global Standards Initiative on Internet of Things (IoTGSI) defined the IoT as the infrastructure of the information society. The traditional fields of embedded system, wireless sensor networks, control system, automation systems are together interconnected to form the IoT. That means the internet of things builds over the revolutionary success of mobile and internet network. Services and products that cant be thought even a few decades back, becomes reality now a days. All of this is due to the wide availability of internet and creation of devices with Wi-Fi abilities. Technology costs are going down, and smart-phones are capable of doing almost anything with their inbuilt features and apps. Thick and fast, IoT integrating diverse smart devices with seamless communication standards and offers pragmatic services by leveraging the processing capabilities of these devices. Vaguely IoT is evolving around five basic areas: Sensor technologies, Local processing, Networking models, Data Science and Predictive Technologies, Machine Learning and Security.
Therefore, the potential is enormous where the interfacing of any gadget to the Internet (and/or to each other) is now a possibility with integrated intelligence to seance the environment and act accordingly. This incorporates everything from the Humans to cellphones, coffee machines, dish-washers, earphones, lights, wearable gadgets and just about whatever else anybody can consider. Communication will be between human-human, human-things, and things-things. Today this has given a vision of bigger things like IoT enabled interconnected Cyber Physical Systems (CPS).
Characteristics
Some of the characteristics of IoT are Inter connectivity, Things related Services, Heterogeneity, Dynamic Changes, Enormous Scale etc. Today rapidly development of electronic gadgets with computing capabilities, storage along with embedding short range transceivers enabling new form of communications between people and things and things themselves. This new phenomena has added a new dimension to the world of information and communication technologies (ICTs). That is why IoT makes it possible from anytime, any place connectivity for anyone, we will now have connectivity for anything.
So Internet of Things is a technological revolution which is totally a dynamic in nature. It has been converging multiple technologies creating new dimension of services that improves the quality of life of consumers and productivity of enterprises. From the consumer point of view, the IoT has the potential applications such as deliver solutions that dramatically improve energy efficiency, security, health, education, connected cars, smart homes, smart retails and many other aspects of daily life. For enterprises, IoT can underpin solutions that improve decision-making and productivity in manufacturing, retail, agriculture and other sectors.
Technologies to support IoT
Some of the technologies converging to support and enable IoT applications are architecture, Identification, Communications, Network Technology, Network Discovery, Software and algorithm, Hardware Technology, Data and signal processing, Discovery and Search Engine, Net-work Management, Power and Energy Storage, Cyber Security, Information security etc. Challenges and research areas of IoT includes but not limited to
Robustness
Privacy
Cloud computing
Cyber physical system
Autonomic Computing
Social Networks
Security
Research Areas in IoT
IoT represents a vision in which the Internet extends into the real world embracing everyday objects. Physical items are no longer disconnected from the virtual world, but can be controlled remotely and can act as physical access points to Internet services. The IoT vision is grounded in the belief that the steady advances in microelectronics, communications and information technology witnessed in recent years will continue into the foreseeable future. "Smart" objects play a key role in the IoT vision, since embedded communication and information technology have the potential to revolutionize the utility of these objects. Using sensors, they are able to perceive their context and via built-in networking capabilities they would be able to communicate with each other, access Internet services and interact with people.
Design and development of Architecture
IoT Network Design and Architecture
1) IoT network design and Cloud networks
2) Networking technologies for data centres
3) Software defined networking
4) Network virtualization technologies
5) Embedded system architecture
6) Adaptive and cognitive networks
7) Wireless networks for IoT and Cloud
8) IoT-enabled home networks.
9) IoT and SMART cities
IoT enabled Software Architectures and Middleware
1) Software architecture for IoT and cloud
2) Inter-cloud interfaces
3) Programming models
4) Services provisioning and management
5) Hybrid cloud infrastructure for IoT
6) IoT based Application development
7) SMART censors, Use cases and Experiences
8) Requirements analysis and modelling
9) IoT Service integration
10) Middleware for cloud and IoT
11) IoT based data acquisition, knowledge management and semantics.
Software-defined Networking
1. Software-defined Networking (SDN) support for Cloud and IoT
2. IoT Network virtualization
3. Software defined data and storage
4. SDN models and architectures
5. QoS evaluation
6. SDN scalability and optimization
7. SDN security and privacy.
Networking and Communication Protocols
1. Transmission protocols and algorithms
2. Communication protocols for data centres
3. Software defined network protocols
4. Energy-efficient networks
5. Network security and privacy
6. P2P and overlay networks for IoT and cloud
7. Measurement and simulations.
Design and development of Services
Mobile Cloud Services
1) Mobile cloud and IoT services
2) Mobiles as censors, networks and applications
3) Mobile cloud and IoT models
4) Spatial Mobility, geo-location and management
5) Mobile multimedia services
6) Pervasive and ubiquitous services in cloud and IoT
7) Mobile service architectures and frameworks.
Context-awareness and Location-awareness
1) Context-awareness in cloud and IoT
2) Location-aware services and Spatial data integration
3) Cloud-based context-aware IoT
4) Self adaptive services
5) Context-aware models and protocols
6) Context-aware services - transportation system, buildings, roads, water supply, environment and healthcare.
Data Driven Knowledge management and Artificial Intelligence
Data and Knowledge Management
1) Data models, Tiny/small databases for IoT devices
2) Knowledge management, Rules, Semantics and Ontologies.
Intelligent Systems for Cloud and Services Computing
1. Agent-based systems and applications
2. Semantic web and services
3. Ontological models
4. Intelligent resource virtualization
5. Knowledge management
6. Intelligent Service Level Agreement (SLA) and Quality assurance.
System Performance
Security, Privacy and Trust
1) IoT and cloud security
2) Privacy issues
3) Reliability of cloud and IoT
4) Accountability and audit
5) Authentication and authorization
6) Cryptography; Identity theft; Data loss or leakage
7) Trust management
Performance Evaluation and Modelling
1. Performance modelling in cloud and IoT
2. Evaluation techniques
3. Performance monitoring
4. Scheduling and application workflows
5. Scalability in cloud and IoT
6. Fault-tolerance and recovery
7. Capacity planning and elasticity
Application and Smart Solution
IoT Services and Applications
1. Architectures of IoT services
2. IoT application areas, IoT and M2M
3. Tools and technologies for IoT services
4. Business models for IoT applications
5. Energy optimization in IoT
6. Modeling and simulation of IoT applications;
SMART Environment
1. Smart cloud and IoT
2. Smart homes and cities
3. Adaptive user interfaces for smart applications
4. Interconnection of smart devices (things)
5. Dynamic urban communications
6. Indoor communications
7. SMART healthcare and assisted living
8. SMART transportation and vehicles
9. SMART phones applications and services
Energy Efficiency
1. Energy efficient service provisioning
2. Energy efficient resource utilization
3. Data storage and processing
4. Energy-efficient networking
5. SMART devices and tools
6. Energy metrics and benchmarks
7. Energy-aware hardware.
Clouds at the Edges
1. Cloud at the Edges
2. Distribution of data centres at network edges
3. Hierarchy of computing capacity and centralised clouds
4. IoT applications and network edges
5. Processing of IoT data at network edges
6. Optimization of data traffic and latencies.
7. industrial applications of IoT and cloud
Virtualization
1. Architectures and models
2. Virtualization of cloud resources
3. Network virtualization
4. Cloud virtualization and IoT
5. Performance of virtualization
6. Reliability and security.
Applied cyber security
Internet of Things (IoT)
Is a dynamic global network infrastructure with self configuring capabilities based on standard and inter operable communication protocols where physical and virtual things have identities, physical attributes and virtual personalities use intelligent interface and seamlessly integrated into the information network. IoT is the inter networking of physical devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. In 2013 the Global Standards Initiative on Internet of Things (IoTGSI) defined the IoT as the infrastructure of the information society. The traditional fields of embedded system, wireless sensor networks, control system, automation systems are together interconnected to form the IoT. That means the internet of things builds over the revolutionary success of mobile and internet network. Services and products that cant be thought even a few decades back, becomes reality now a days. All of this is due to the wide availability of internet and creation of devices with Wi-Fi abilities. Technology costs are going down, and smart-phones are capable of doing almost anything with their inbuilt features and apps. Thick and fast, IoT integrating diverse smart devices with seamless communication standards and offers pragmatic services by leveraging the processing capabilities of these devices. Vaguely IoT is evolving around five basic areas: Sensor technologies, Local processing, Networking models, Data Science and Predictive Technologies, Machine Learning and Security.
Therefore, the potential is enormous where the interfacing of any gadget to the Internet (and/or to each other) is now a possibility with integrated intelligence to seance the environment and act accordingly. This incorporates everything from the Humans to cellphones, coffee machines, dish-washers, earphones, lights, wearable gadgets and just about whatever else anybody can consider. Communication will be between human-human, human-things, and things-things. Today this has given a vision of bigger things like IoT enabled interconnected Cyber Physical Systems (CPS).
Characteristics
Some of the characteristics of IoT are Inter connectivity, Things related Services, Heterogeneity, Dynamic Changes, Enormous Scale etc. Today rapidly development of electronic gadgets with computing capabilities, storage along with embedding short range transceivers enabling new form of communications between people and things and things themselves. This new phenomena has added a new dimension to the world of information and communication technologies (ICTs). That is why IoT makes it possible from anytime, any place connectivity for anyone, we will now have connectivity for anything.
So Internet of Things is a technological revolution which is totally a dynamic in nature. It has been converging multiple technologies creating new dimension of services that improves the quality of life of consumers and productivity of enterprises. From the consumer point of view, the IoT has the potential applications such as deliver solutions that dramatically improve energy efficiency, security, health, education, connected cars, smart homes, smart retails and many other aspects of daily life. For enterprises, IoT can underpin solutions that improve decision-making and productivity in manufacturing, retail, agriculture and other sectors.
Technologies to support IoT
Some of the technologies converging to support and enable IoT applications are architecture, Identification, Communications, Network Technology, Network Discovery, Software and algorithm, Hardware Technology, Data and signal processing, Discovery and Search Engine, Net-work Management, Power and Energy Storage, Cyber Security, Information security etc. Challenges and research areas of IoT includes but not limited to
Robustness
Privacy
Cloud computing
Cyber physical system
Autonomic Computing
Social Networks
Security
Research Areas in IoT
IoT represents a vision in which the Internet extends into the real world embracing everyday objects. Physical items are no longer disconnected from the virtual world, but can be controlled remotely and can act as physical access points to Internet services. The IoT vision is grounded in the belief that the steady advances in microelectronics, communications and information technology witnessed in recent years will continue into the foreseeable future. "Smart" objects play a key role in the IoT vision, since embedded communication and information technology have the potential to revolutionize the utility of these objects. Using sensors, they are able to perceive their context and via built-in networking capabilities they would be able to communicate with each other, access Internet services and interact with people.
Design and development of Architecture
IoT Network Design and Architecture
1) IoT network design and Cloud networks
2) Networking technologies for data centres
3) Software defined networking
4) Network virtualization technologies
5) Embedded system architecture
6) Adaptive and cognitive networks
7) Wireless networks for IoT and Cloud
8) IoT-enabled home networks.
9) IoT and SMART cities
IoT enabled Software Architectures and Middleware
1) Software architecture for IoT and cloud
2) Inter-cloud interfaces
3) Programming models
4) Services provisioning and management
5) Hybrid cloud infrastructure for IoT
6) IoT based Application development
7) SMART censors, Use cases and Experiences
8) Requirements analysis and modelling
9) IoT Service integration
10) Middleware for cloud and IoT
11) IoT based data acquisition, knowledge management and semantics.
Software-defined Networking
1. Software-defined Networking (SDN) support for Cloud and IoT
2. IoT Network virtualization
3. Software defined data and storage
4. SDN models and architectures
5. QoS evaluation
6. SDN scalability and optimization
7. SDN security and privacy.
Networking and Communication Protocols
1. Transmission protocols and algorithms
2. Communication protocols for data centres
3. Software defined network protocols
4. Energy-efficient networks
5. Network security and privacy
6. P2P and overlay networks for IoT and cloud
7. Measurement and simulations.
Design and development of Services
Mobile Cloud Services
1) Mobile cloud and IoT services
2) Mobiles as censors, networks and applications
3) Mobile cloud and IoT models
4) Spatial Mobility, geo-location and management
5) Mobile multimedia services
6) Pervasive and ubiquitous services in cloud and IoT
7) Mobile service architectures and frameworks.
Context-awareness and Location-awareness
1) Context-awareness in cloud and IoT
2) Location-aware services and Spatial data integration
3) Cloud-based context-aware IoT
4) Self adaptive services
5) Context-aware models and protocols
6) Context-aware services - transportation system, buildings, roads, water supply, environment and healthcare.
Data Driven Knowledge management and Artificial Intelligence
Data and Knowledge Management
1) Data models, Tiny/small databases for IoT devices
2) Knowledge management, Rules, Semantics and Ontologies.
Intelligent Systems for Cloud and Services Computing
1. Agent-based systems and applications
2. Semantic web and services
3. Ontological models
4. Intelligent resource virtualization
5. Knowledge management
6. Intelligent Service Level Agreement (SLA) and Quality assurance.
System Performance
Security, Privacy and Trust
1) IoT and cloud security
2) Privacy issues
3) Reliability of cloud and IoT
4) Accountability and audit
5) Authentication and authorization
6) Cryptography; Identity theft; Data loss or leakage
7) Trust management
Performance Evaluation and Modelling
1. Performance modelling in cloud and IoT
2. Evaluation techniques
3. Performance monitoring
4. Scheduling and application workflows
5. Scalability in cloud and IoT
6. Fault-tolerance and recovery
7. Capacity planning and elasticity
Application and Smart Solution
IoT Services and Applications
1. Architectures of IoT services
2. IoT application areas, IoT and M2M
3. Tools and technologies for IoT services
4. Business models for IoT applications
5. Energy optimization in IoT
6. Modeling and simulation of IoT applications;
SMART Environment
1. Smart cloud and IoT
2. Smart homes and cities
3. Adaptive user interfaces for smart applications
4. Interconnection of smart devices (things)
5. Dynamic urban communications
6. Indoor communications
7. SMART healthcare and assisted living
8. SMART transportation and vehicles
9. SMART phones applications and services
Energy Efficiency
1. Energy efficient service provisioning
2. Energy efficient resource utilization
3. Data storage and processing
4. Energy-efficient networking
5. SMART devices and tools
6. Energy metrics and benchmarks
7. Energy-aware hardware.
Clouds at the Edges
1. Cloud at the Edges
2. Distribution of data centres at network edges
3. Hierarchy of computing capacity and centralised clouds
4. IoT applications and network edges
5. Processing of IoT data at network edges
6. Optimization of data traffic and latencies.
7. industrial applications of IoT and cloud
Virtualization
1. Architectures and models
2. Virtualization of cloud resources
3. Network virtualization
4. Cloud virtualization and IoT
5. Performance of virtualization
6. Reliability and security.
industrial automation
Industry Automation or automatic control for industry task is the use of various control systems for operating equipment such as machinery, processes in factories, boilers , heat treating ovens, switching in telephone networks, steering and stabilization of ships, aircraft and other applications with minimal or reduced human intervention [1].
The core essence of such automation is that it saves labor, energy, materials, reduces production cost, enhances control and autonomy within the process, reduces causalities and human error. On the flip side it improve quality, accuracy and precision.
The Technology that highly underpins industrial automation is the wireless communication technologies. Wireless communication integrated with smart sensors , actuators and AI driven autonomous process control and decision making sustainably improve automation technology [1].
References:
[1] https://www.researchgate.net/publication/314720788
robotics
Tomorrow's robots, which includes the humanoid robot, can perform task like tutoring children, working as tour guides, driving humans to and from work, do the family shopping etc. Tomorrow's robots will enhance lives in ways we never dreamed possible. No time to attend the decisive meeting on Asian strategy? Let your robot go for you and make the decisions. Not feeling well enough to go to the clinic? Let Dr Robot come to you, make a diagnosis, and get you the necessary medicine for treatment. No time to coach the soccer team this week? Let the robot do it for you [1].
Tomorrow's robots will be the most exciting and revolutionary things to happen to the world since the invention of the automobile. It will change the way we work, play, think, and live. Because of this, nowadays robotics is one of the most dynamic fields of scientific research. These days, robotics is offered in almost every university in the world. Most mechanical engineering departments offer a similar course at both the undergraduate and graduate levels. And increasingly, many computer and electrical engineering departments are also offering it [1].
References:
industrial training and consultation
Internet of Things (IoT)
Is a dynamic global network infrastructure with self configuring capabilities based on standard and inter operable communication protocols where physical and virtual things have identities, physical attributes and virtual personalities use intelligent interface and seamlessly integrated into the information network. IoT is the inter networking of physical devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. In 2013 the Global Standards Initiative on Internet of Things (IoTGSI) defined the IoT as the infrastructure of the information society. The traditional fields of embedded system, wireless sensor networks, control system, automation systems are together interconnected to form the IoT. That means the internet of things builds over the revolutionary success of mobile and internet network. Services and products that cant be thought even a few decades back, becomes reality now a days. All of this is due to the wide availability of internet and creation of devices with Wi-Fi abilities. Technology costs are going down, and smart-phones are capable of doing almost anything with their inbuilt features and apps. Thick and fast, IoT integrating diverse smart devices with seamless communication standards and offers pragmatic services by leveraging the processing capabilities of these devices. Vaguely IoT is evolving around five basic areas: Sensor technologies, Local processing, Networking models, Data Science and Predictive Technologies, Machine Learning and Security.
Therefore, the potential is enormous where the interfacing of any gadget to the Internet (and/or to each other) is now a possibility with integrated intelligence to seance the environment and act accordingly. This incorporates everything from the Humans to cellphones, coffee machines, dish-washers, earphones, lights, wearable gadgets and just about whatever else anybody can consider. Communication will be between human-human, human-things, and things-things. Today this has given a vision of bigger things like IoT enabled interconnected Cyber Physical Systems (CPS).
Characteristics
Some of the characteristics of IoT are Inter connectivity, Things related Services, Heterogeneity, Dynamic Changes, Enormous Scale etc. Today rapidly development of electronic gadgets with computing capabilities, storage along with embedding short range transceivers enabling new form of communications between people and things and things themselves. This new phenomena has added a new dimension to the world of information and communication technologies (ICTs). That is why IoT makes it possible from anytime, any place connectivity for anyone, we will now have connectivity for anything.
So Internet of Things is a technological revolution which is totally a dynamic in nature. It has been converging multiple technologies creating new dimension of services that improves the quality of life of consumers and productivity of enterprises. From the consumer point of view, the IoT has the potential applications such as deliver solutions that dramatically improve energy efficiency, security, health, education, connected cars, smart homes, smart retails and many other aspects of daily life. For enterprises, IoT can underpin solutions that improve decision-making and productivity in manufacturing, retail, agriculture and other sectors.
Technologies to support IoT
Some of the technologies converging to support and enable IoT applications are architecture, Identification, Communications, Network Technology, Network Discovery, Software and algorithm, Hardware Technology, Data and signal processing, Discovery and Search Engine, Net-work Management, Power and Energy Storage, Cyber Security, Information security etc. Challenges and research areas of IoT includes but not limited to
Robustness
Privacy
Cloud computing
Cyber physical system
Autonomic Computing
Social Networks
Security
Research Areas in IoT
IoT represents a vision in which the Internet extends into the real world embracing everyday objects. Physical items are no longer disconnected from the virtual world, but can be controlled remotely and can act as physical access points to Internet services. The IoT vision is grounded in the belief that the steady advances in microelectronics, communications and information technology witnessed in recent years will continue into the foreseeable future. "Smart" objects play a key role in the IoT vision, since embedded communication and information technology have the potential to revolutionize the utility of these objects. Using sensors, they are able to perceive their context and via built-in networking capabilities they would be able to communicate with each other, access Internet services and interact with people.
Design and development of Architecture
IoT Network Design and Architecture
1) IoT network design and Cloud networks
2) Networking technologies for data centres
3) Software defined networking
4) Network virtualization technologies
5) Embedded system architecture
6) Adaptive and cognitive networks
7) Wireless networks for IoT and Cloud
8) IoT-enabled home networks.
9) IoT and SMART cities
IoT enabled Software Architectures and Middleware
1) Software architecture for IoT and cloud
2) Inter-cloud interfaces
3) Programming models
4) Services provisioning and management
5) Hybrid cloud infrastructure for IoT
6) IoT based Application development
7) SMART censors, Use cases and Experiences
8) Requirements analysis and modelling
9) IoT Service integration
10) Middleware for cloud and IoT
11) IoT based data acquisition, knowledge management and semantics.
Software-defined Networking
1. Software-defined Networking (SDN) support for Cloud and IoT
2. IoT Network virtualization
3. Software defined data and storage
4. SDN models and architectures
5. QoS evaluation
6. SDN scalability and optimization
7. SDN security and privacy.
Networking and Communication Protocols
1. Transmission protocols and algorithms
2. Communication protocols for data centres
3. Software defined network protocols
4. Energy-efficient networks
5. Network security and privacy
6. P2P and overlay networks for IoT and cloud
7. Measurement and simulations.
Design and development of Services
Mobile Cloud Services
1) Mobile cloud and IoT services
2) Mobiles as censors, networks and applications
3) Mobile cloud and IoT models
4) Spatial Mobility, geo-location and management
5) Mobile multimedia services
6) Pervasive and ubiquitous services in cloud and IoT
7) Mobile service architectures and frameworks.
Context-awareness and Location-awareness
1) Context-awareness in cloud and IoT
2) Location-aware services and Spatial data integration
3) Cloud-based context-aware IoT
4) Self adaptive services
5) Context-aware models and protocols
6) Context-aware services - transportation system, buildings, roads, water supply, environment and healthcare.
Data Driven Knowledge management and Artificial Intelligence
Data and Knowledge Management
1) Data models, Tiny/small databases for IoT devices
2) Knowledge management, Rules, Semantics and Ontologies.
Intelligent Systems for Cloud and Services Computing
1. Agent-based systems and applications
2. Semantic web and services
3. Ontological models
4. Intelligent resource virtualization
5. Knowledge management
6. Intelligent Service Level Agreement (SLA) and Quality assurance.
System Performance
Security, Privacy and Trust
1) IoT and cloud security
2) Privacy issues
3) Reliability of cloud and IoT
4) Accountability and audit
5) Authentication and authorization
6) Cryptography; Identity theft; Data loss or leakage
7) Trust management
Performance Evaluation and Modelling
1. Performance modelling in cloud and IoT
2. Evaluation techniques
3. Performance monitoring
4. Scheduling and application workflows
5. Scalability in cloud and IoT
6. Fault-tolerance and recovery
7. Capacity planning and elasticity
Application and Smart Solution
IoT Services and Applications
1. Architectures of IoT services
2. IoT application areas, IoT and M2M
3. Tools and technologies for IoT services
4. Business models for IoT applications
5. Energy optimization in IoT
6. Modeling and simulation of IoT applications;
SMART Environment
1. Smart cloud and IoT
2. Smart homes and cities
3. Adaptive user interfaces for smart applications
4. Interconnection of smart devices (things)
5. Dynamic urban communications
6. Indoor communications
7. SMART healthcare and assisted living
8. SMART transportation and vehicles
9. SMART phones applications and services
Energy Efficiency
1. Energy efficient service provisioning
2. Energy efficient resource utilization
3. Data storage and processing
4. Energy-efficient networking
5. SMART devices and tools
6. Energy metrics and benchmarks
7. Energy-aware hardware.
Clouds at the Edges
1. Cloud at the Edges
2. Distribution of data centres at network edges
3. Hierarchy of computing capacity and centralised clouds
4. IoT applications and network edges
5. Processing of IoT data at network edges
6. Optimization of data traffic and latencies.
7. industrial applications of IoT and cloud
Virtualization
1. Architectures and models
2. Virtualization of cloud resources
3. Network virtualization
4. Cloud virtualization and IoT
5. Performance of virtualization
6. Reliability and security.