AI-Powered Internet of Things 

Project: Semantic edge computing and IoT architecture

Duration: 03.2012 - 02.2020

Funding agency: EU Horizon 2020.

Description: In this project, we have designed a Semantic Fusion Model (SFM) that involves the use of edge devices in Internet of Things (IoT) networks to perform local data processing and analysis, rather than relying on centralized servers or cloud systems. The architecture integrates SFM to process and integrate information from sensors in IoT networks. The smart embedded system in this architecture uses semantic logic and value-based information to enhance its intelligence. Additionally, this project discusses the various applications, services, and visual aspects of IoT using technologies such as Radio Frequency Identification (RFID), 6lowpan, and sensor networks, as well as the challenges that need to be addressed in the implementation of IoT.


Publications

https://doi.org/10.3390/s22020640 [SCIE: 3.57]

Project: IP-Based Wireless Sensor Networks: 6LoWPAN Tealtime Testbed 

Duration: 03.2007 - 02.2017

Funding Support: Brain Korea-21, DSU, NIMS, HUFS, MtoV Inc. 

Description: In this project, we have developed a framework for IPv6-Low Power Wireless Personal Area Networks (6LoWPAN) that utilizes short adaptation identifiers (AIDs) in place of full IPv6 addresses to enable effective IPv6 header compression in communication between IEEE 802.15.4 nodes and the IPv6 domain. To facilitate this, we have implemented a mechanism for translating AIDs to IPv6 addresses and maintaining an AID-IPv6 translation table at the gateway and In-node. When a packet is transmitted, it carries an AID value in the adaptation header instead of the OUT-node's IPv6 address, which is then translated back to IPv6 at the gateway using the AID-IPv6 translation table. In addition, we have designed an effective frame format for the adaptation layer to support both global and local communication in this context. As a reminder, the primary goal of 6LoWPAN is to provide internet connectivity to low-power networks using the IEEE 802.15.4 standard. This allows IN-nodes within the network to communicate with OUT-nodes in the IPv6 domain. 


Publications: 

Project: Ubiquitous IT: Wireless Sensor Networks with Simulation and Testbed 

Duration: 03.2008 - 02.2018

Industry: Brain Korea-21, DSU, NIMS, HUFS, MtoV Inc. 

Description: In this project, we have developed a wireless ad-hoc sensor network that enables portable devices to establish communication without the need for a central infrastructure. However, the lack of a central infrastructure and the ability of devices to move randomly introduces challenges such as routing and security. To address these issues, we have examined several ad-hoc routing protocols, including AODV, DSR, DSDV, OLSR, and ZRP, which propose solutions for routing within a fixed ad-hoc sensor network. However, we are also interested in communication between a wireless device in the ad-hoc network and a fixed device in a fixed network, such as the Internet. Therefore, we have modified the ad-hoc routing protocol AODV to support this type of interconnection between the wireless ad-hoc sensor network and the fixed network. 


Publications: 

https://doi.org/10.3390/s19183835 [SCIE-3.57]