Energy-efficient and Distributed Data-aware Clustering Protocol for the Internet-of-Things

被引：0

作者：

Mahapatra, Chinmaya ^{[1
]}

Sheng, Zhengguo ^{[2
]}

Leung, Victor C. M. ^{[1
]}

机构：

[1] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC, Canada

[2] Univ Sussex, Dept Engn & Design, Brighton BN1 9RH, E Sussex, England

来源：

2016 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2016年

关键词：

WIRELESS SENSOR NETWORKS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页数：5

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