Clustering routing algorithm of self-energized wireless sensor networks based on solar energy harvesting

doi:10.1016/S1005-8885(15)60669-0

中国邮电高校学报(英文) ›› 2015, Vol. 22 ›› Issue (4): 66-73.doi: 10.1016/S1005-8885(15)60669-0

Clustering routing algorithm of self-energized wireless sensor networks based on solar energy harvesting

姚玉坤,余志龙,王冠

Chongqing Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

收稿日期:2014-09-10 修回日期:2015-01-19 出版日期:2015-08-28 发布日期:2015-08-28
通讯作者: Yao Yukun E-mail:yaoyk@cqupt.edu.cn
基金资助:
the Natural Science Foundation Project of CQ CSTC (2012jjA40040), the Changjiang Scholars and Innovative Research Team in University (IRT1299), the Special Fund of Chongqing Key Laboratory (CSTC).

Clustering routing algorithm of self-energized wireless sensor networks based on solar energy harvesting

Yao Yukun, Yu Zhilong, Wang Guan

Chongqing Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received:2014-09-10 Revised:2015-01-19 Online:2015-08-28 Published:2015-08-28
Supported by:
the Natural Science Foundation Project of CQ CSTC (2012jjA40040), the Changjiang Scholars and Innovative Research Team in University (IRT1299), the Special Fund of Chongqing Key Laboratory (CSTC).

摘要/Abstract

摘要： Aiming at the problems of existing clustering routing algorithm of self-energized wireless sensor networks (WSNs) on fixed threshold for resurrection, incapacitates reappoint cluster head in the next round and lack of election limit, this paper proposes a novel clustering routing algorithm for self-energized WSNs clustering routing algorithm based on solar energy harvesting (CRBS) algorithm. The algorithm puts forward a threshold sensitive resurrection mechanism, reviving the node when harvesting energy reaches the set soft or hard energy threshold. Meanwhile, combined with current energy harvesting level, cluster head node can decide whether to reappoint the cluster head in the next round. What’s more, CRBS optimizes the cluster head election threshold to limit the incompetent node in election. Combined with the solar energy harvesting simulation, the results show that CRBS algorithm can better keep the default cluster head proportion, and outperforms energy balanced clustering with self-energization (EBCS) algorithm in terms of surviving nodes number and the success ratio of data transmission

关键词: wireless sensor network (WSN), self-energized, clustering routing algorithm, solar

Abstract: Aiming at the problems of existing clustering routing algorithm of self-energized wireless sensor networks (WSNs) on fixed threshold for resurrection, incapacitates reappoint cluster head in the next round and lack of election limit, this paper proposes a novel clustering routing algorithm for self-energized WSNs clustering routing algorithm based on solar energy harvesting (CRBS) algorithm. The algorithm puts forward a threshold sensitive resurrection mechanism, reviving the node when harvesting energy reaches the set soft or hard energy threshold. Meanwhile, combined with current energy harvesting level, cluster head node can decide whether to reappoint the cluster head in the next round. What’s more, CRBS optimizes the cluster head election threshold to limit the incompetent node in election. Combined with the solar energy harvesting simulation, the results show that CRBS algorithm can better keep the default cluster head proportion, and outperforms energy balanced clustering with self-energization (EBCS) algorithm in terms of surviving nodes number and the success ratio of data transmission

Key words: wireless sensor network (WSN), self-energized, clustering routing algorithm, solar

Yao Yukun, Yu Zhilong, Wang Guan. Clustering routing algorithm of self-energized wireless sensor networks based on solar energy harvesting[J]. Acta Metallurgica Sinica(English letters), 2015, 22(4): 66-73.

参考文献

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Clustering routing algorithm of self-energized wireless sensor networks based on solar energy harvesting

Clustering routing algorithm of self-energized wireless sensor networks based on solar energy harvesting

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