一种能耗均衡的无线传感器网络路由算法
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摘要
为了延长采用电池供电的无线传感器网络的生命周期,提出了一种综合考虑单个节点能耗和节点传输信息至汇集节点所需总能耗的路由算法。该算法首先根据网络中节点到汇集节点从小到大的距离顺序选择待规划节点,然后计算各对应候选节点的评价参数,该参数由单节点能耗和节点传输信息至汇集节点所需总能耗加权得到,最后选择评价参数最小的候选节点作为待规划节点的中继节点。仿真结果表明,该算法的生命周期明显长于LEACH(Low Energy Adaptive Clustering Hierarchy)算法。
In order to extend the life cycle of battery-powered wireless sensor networks(WSNs),a routing algorithm is proposed in which the energy consumption of a single node and the total energy required to transmit information to the sink node are both taken into account. At first,the algorithm selects the nodes to be planned according to the order of nodes in the network to the sink node from small to large distance.And then it calculates the evaluation parameters of each corresponding candidate node,which is calculated by weighting the single node energy consumption and the total energy consumption required by the node to transmit the information to the sink node. Finally,it selects the candidate node with the smallest evaluation parameter as the relay node. The simulation results show that the life cycle of the algorithm is much longer than that of the LEACH(Low Energy Adaptive Clustering Hierarchy) algorithm.
In order to extend the life cycle of battery-powered wireless sensor networks(WSNs),a routing algorithm is proposed in which the energy consumption of a single node and the total energy required to transmit information to the sink node are both taken into account. At first,the algorithm selects the nodes to be planned according to the order of nodes in the network to the sink node from small to large distance.And then it calculates the evaluation parameters of each corresponding candidate node,which is calculated by weighting the single node energy consumption and the total energy consumption required by the node to transmit the information to the sink node. Finally,it selects the candidate node with the smallest evaluation parameter as the relay node. The simulation results show that the life cycle of the algorithm is much longer than that of the LEACH(Low Energy Adaptive Clustering Hierarchy) algorithm.
引文
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[2]YOUSEFI H,YEGANEH M H,ALINAGHIPOUR N,et al.Structure-free real-time data aggregation in wireless sensor networks[J].Computer Communications,2012,35(9):1132-1140.
[3]QIAN H,SUN P,RONG Y.Design proposal of selfpowered WSN node for battle field surveillance[J].Energy Procedia,2012,16(3):753-757.
[4]REZAEE A A,YAGHMAEE M H,RAHMANI A M,et al.HOCA:healthcare aware optimized congestion avoidance and control protocol for wireless sensor networks[J].Journal of Network&Computer Applications,2014,37(1):216-228.
[5]HADJIDJ A,SOUIL M,BOUABDALLAH A,et al.Wireless sensor networks for rehabilitation applications:challenges and opportunities[J].Journal of Network&Computer Applications,2013,36(1):1-15.
[6]JIANG S F,ZHANG C M,ZHANG S.Two-stage structural damage detection using fuzzy neural networks and data fusion techniques[J].Expert Systems with Applications,2011,38(1):511-519.
[7]CHEN S L,LEE H Y,CHEN C A,et al.An architecture of wireless biomedical sensor network for monitoring applications[J].International Journal of Electrical Engineering,2009,16(5):403-409.
[8]ROOPA B,MANVI S.Image fusion techniques for wireless sensor networks:survey[J].Itsocietyindia Org,2014,2(2):13-19.
[9]XIAO X,QI L,ZHANG L,et al.Wireless real-time monitoring system for table grape cold-chain logistics[J].Application of Electronic Technique,2013,39(8):77-79,83.
[10]XU Y,HEIDEMANN J,ESTRIN D.Geography-informed energy conservation for ad hoc routing[C]//Proceedings of the 7th Annual International Conference on Mobile Computing and Networking.Rome,Italy:ACM,2001:70-84.
[11]HEINZELMAN W B,CHANDRAKASAN A P,BALAKRISHNAN H.An application-specific protocol architecture for wireless microsensor networks[J].IEEETransactions on Wireless Communications,2002,1(4):660-670.
[12]YOUNIS O,FAHMY S.HEED:a hybrid,energy-efficient,distributed clustering approach for ad hoc sensor networks[J].IEEE Transactions on Mobile Computing,2004,3(4):366-379.