Energy-efficient and distributed data-aware clustering protocol for the Internet-of-Things

Mahapatra, Chinmaya, Sheng, Zhengguo and Leung, Victor CM (2016) Energy-efficient and distributed data-aware clustering protocol for the Internet-of-Things. In: IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 15 May 2016, Vancouver, Canada.

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Internet-of-Things (IoT) is a new paradigm of wireless technology, where smart sensors and machines communicate through amalgamating multivaried protocols and devices such as Zigbee, Bluetooth, Radio Frequency Identification (RFID) and Wireless Sensor Network (WSN). IoT systems, requires sensing, gathering, storing, processing and transmitting of data from real time sensors as well as virtual online sensors. Thus, energy efficiency and robust data delivery to users are the key requirements. In this paper, we introduce active RFID tags based cluster head (CH) selection, data-awareness and energy harvesting in the IoT systems. The results show that the IoT based WSN heterogeneous systems are better equipped to deal with energy efficiency and data delivery problems. Simulation results support our proposed method and show significant improvement over state-of-the art techniques.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA0329 Engineering mathematics. Engineering analysis
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television
Depositing User: Zhengguo Sheng
Date Deposited: 03 Jun 2016 15:20
Last Modified: 10 Oct 2017 10:01

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