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

ISSN号：1005-8885
期刊名称：《中国邮电高校学报：英文版》
时间：0
分类：TP212[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
作者机构：[1]Chongqing Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
相关基金：supported by the Natural Science Foundation Project of CQ CSTC （2012jj A40040）; the Changjiang Scholars and Innovative Research Team in University （IRT1299）; the Special Fund of Chongqing Key Laboratory （CSTC）

关键词：无线传感器网络, 路由算法, 太阳能, 自激励, 分簇, 收获, 硬阈值, 节点数, wireless sensor network（WSN）,self-energized,clustering routing algorithm,solar

中文摘要：

瞄准存在为复活在固定阀值上聚类自我充满力量的无线传感器网络( WSN )的路由算法的问题，丧失能力在选举限制的下一个回合和缺乏重新任命簇头，这份报纸为基于收获的太阳能( CRBS )聚类路由算法的自我充满力量的 WSN 建议一个新奇聚类路由算法算法。算法提出阀值敏感复活机制，当收获精力时，复兴节点到达集合软或难的精力阀值。同时，与收获水平的当前的精力结合了，簇头节点能决定是否在下一个回合重新任命簇头。而且， CRBS 优化簇头选举阀值在选举限制无能节点。与收获模拟的太阳能结合了，结果证明那个 CRBS 算法能更好让缺省簇头比例，并且超过平衡的精力以熬过节点数字和数据传播的成功比率与 self-energization (EBCS ) 聚类算法

英文摘要：

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

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