一种基于融合器的多跳能量均衡算法

发布时间：2018-01-24 13:50

本文关键词： 无线传感器网络能量均衡融合器多跳　出处：《东南大学学报(自然科学版)》2017年01期 　论文类型：期刊论文

【摘要】：为了解决现有的分簇算法能量消耗不均衡问题,提出了一种新的基于融合器的多跳能量均衡(MEB)算法.该算法采用定时器并且考虑节点的剩余能量来优化簇头选举,通过选举簇中最多能量的节点作为融合器,对簇头转发的传感数据进行数据融合,然后通过由融合器构建的多跳路由树发送到基站.该算法同时达到了簇内和簇间的能量均衡.仿真结果表明,MEB算法第1个节点死亡的时间比LEACH算法延长了80%左右,比TB-LEACH算法延长了60%左右.MEB算法第1个节点死亡到最后1个节点死亡经历的时间非常短.因此,MEB算法实现了整个网络的能量均衡,提高了网络的稳定度,延长了网络的生命周期.
[Abstract]:In order to solve the existing clustering algorithm energy consumption imbalance problem. A new multi-hop energy equalization algorithm based on fusion device (MEB) is proposed, in which the timer is used and the residual energy of the node is considered to optimize the cluster head election. The sensor data transmitted by the cluster head is fused by selecting the node with the most energy in the cluster as the fusion device. Then the multi-hop routing tree constructed by the fusion device is sent to the base station. The algorithm achieves both intra-cluster and inter-cluster energy equalization. The death time of the first node in MEB algorithm is 80% longer than that in LEACH algorithm. Compared with the TB-LEACH algorithm, the time between the death of the first node and the last node is very short. The MEB algorithm realizes the energy balance of the whole network, improves the stability of the network, and prolongs the lifetime of the network.
【作者单位】：东南大学仪器科学与工程学院;
【基金】：“十二五”国家科技支撑计划资助项目(2014BAD08B03) 江苏省水产三新工程资助项目(Y2016-3) 苏北科技专项资金资助项目(BN2014085) 江苏省农业科技支撑资助项目(BN2014312)
【分类号】：TN929.5;TP212.9
【正文快照】： 在无线传感器网络中,传感节点的能量有限,因此需要仔细地对应用和协议进行设计,通过优化能量消耗来延长网络的生命周期[1].分簇算法是一种设计无线传感器网络中各种能量高效的协议.LEACH(low-energy adaptive clustering hierarchy)算法是分簇算法中最广泛使用的算法[2].LEACH

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