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Important Dates:- Abstract submission: October 10, 2020; Full chapter submission due: January 10, 2021; Notification to authors: March 1, 2021
Internet of Multimedia Things (IoMT): Techniques and Applications
Internet of Multimedia Things (IoMT): Techniques and Applications
Introduction
Introduction
Currently, more than 9 billion network devices and 2.5 billion peoples are connected to the internet facility for sharing data and media (like emails, social networks, chatrooms, blogs, forums games, books, music, videos, shopping, education, geographical information, encyclopedias.) among all services. In the last couple of years, the advancement of low power and low-cost small-scaled devices such as Micro Electro Mechanical Systems (MEMS) has given the explosive growth in the number of IoT devices and increased scalability. IoT is useful for the application in home automation, security, automated applications to provide useful contextual information frequently to help with their works, and decision making. Internet-enabled sensors and actuators' operations can be rapid, efficient, and more economical.
Multimedia content occupies significant share in acquired IoT data. However, Multimedia content is acquired from the environment are large as compared to the typical scaler data obtained from conventional IoT devices. Traditional wireless sensor devices in IoT include statistics about light, temperature, pressure, etc. and the thing reporting their status or a condition like water-dispenser, battery status or fault reporting for maintenance. These collected data and maintenance data is periodic and requires less memory and limited computation resource.
On the contrary, Multimedia data in IoT is bulky and specially meant for the real-time application requires real-time communication. Few examples are real-time multimedia based surveillance systems for smart home, office, at critical infrastructure, telemedicine service in the smart hospital, remote patient monitoring, transportation management system, remote multimedia based monitoring, etc. Multimedia services require higher processing and memory resources. Hence, the multimedia content and connections by the current IoT protocol stack has limitations. This limitation of IoT to withhold the multimedia content brings a particular subset of IoT, which is known as the Internet of Multimedia of Things(IoMT).
Objective
Objective
Multimedia data in IoT is bulky and specially meant for the real-time application requires real-time communication. Few examples are real-time multimedia based surveillance systems for smart home, office, at critical infrastructure, telemedicine service in the smart hospital, remote patient monitoring, transportation management system, remote multimedia based monitoring, etc. Multimedia services require higher processing and memory resources, which raises the need for IoMT.
In this edited book, we aim to analyze this issue by envisioning the concept of IoT and drawing an inspiration towards the perspective vision of 'Internet of Multimedia Things' (IoMT).
Target Audience
Target Audience
The book is written for the developers and domain experts who want to explore the opportunities and challenges of designing and developing algorithms and protocols for IoMT. The book is useful for researchers and Ph.D. interested in application development for multimedia based surveillance systems for smart home, office, at critical infrastructure, telemedicine service in the smart hospital, remote patient monitoring, transportation management system, remote multimedia based monitoring, etc.
Recommended Topics
Recommended Topics
Tentative topics of interest include, but are not limited to, the following titles:
Part –I: IoMT Architectures and Technologies
PHY-MAC Protocol for IoMT
IoMT communications (IoMT routing)
Cross-layer protocols for IoMT
Multicasting in IoMT
Energy-critical IoMT
Part –II: IoMT Computing and Protocols
IoMT Coding and compression
SDN-based IoMT solutions
Fog/Edge-based Computing
IoMT routing protocols and quality of services
Cognitive Computing for IoMT
IoMT big data and cloud computing
Part-III : IoMT Applications
IoMT for Smart healthcare
IoMT in Smart Cities
IoMT Smart agriculture
Real-Time IoMT applications
IoMT in Smart Industries
Machine Learning/Deep Learning for IoMT Security
IoMT for Traffic Monitoring
Submission Procedure
Submission Procedure
Interested contributors must submit the tentative title of the chapter along with abstract (approximately 100-150 words and 5-10 keywords ) in a single page with full list of authors to iomt2021elsevier@gmail.com or ss@mnnit.ac.in (Dr. Shailendra Shukla) before October 10, 2020. The contributors will be notified about the acceptance of the abstract based on the editors review assessment.
Researchers and practitioners are invited to submit their high quality full chapter (approximately approximately 10,000 words) through Elsevier-Electronic Manuscript Submission Systems on or before January 10, 2021.
All submissions must be original and should not be under review by another publication. Submitted chapters will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. Authors should make sure that their submission has 15% or lower similarity as per iThenticate or Turnitin.
Note:
There are no submission or acceptance fees for manuscripts submitted to this book publication. All manuscripts are accepted based on a double-blind peer review editorial process.
Publisher
Publisher
This book is scheduled to be published by Elsevier. This publication is anticipated to be released in 2021.
Important Dates
Important Dates
Abstract submission due: October 10, 2020
Full chapter submission due: January 10, 2021
Notification to authors: March 1, 2021
Camera-ready submission: March 30, 2021
Inquiries and Communications
Inquiries and Communications
Dr. Shailendra Shukla, Computer Science and Engineering Department Motilal Nehru National Institute of Technology Allahabad, India, E-mail: ss@mnnit.ac.in
Dr. Amit Kumar Singh, Department of Computer Science and Engineering, National Institute of Technology Patna, India, Email:amit.singh@nitp.ac.in
Dr. Gautam Srivastava , Department of Mathematics and Computer Science, Brandon University, Brandon Canada, Email: srivastavag@brandonu.ca
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