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能量均衡的室内无线传感器网络自适应分簇路由算法 被引量:5

Energy-balanced Adaptive Clustering Routing for Indoor Wireless Sensor Networks
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摘要 由于室内无线传感器网络信道衰落导致了网络拓扑结构频繁发生变化,因此随着环境的变化需要一种自适应的路由算法。为此,该文提出一种能量均衡的自适应分簇路由(EBACR)算法。EBACR算法通过综合考虑传感器节点接收基站的接收信号强度指示(RSSI)值和剩余能量两个属性来选择簇头节点和它的中继节点,其它节点也采用类似的方法决定它们加入哪个簇。该算法利用这种多属性决策的方法,可以根据传感器节点不同属性的变化自适应地建立路由。实验结果表明,EBACR算法与其它3个算法相比,在能量均衡和网络生命周期两方面取得了更好的性能。 As indoor wireless sensor networks channel fading resulting in frequent topological changes, an adaptive routing algorithm is necessary with the changes of environment. To this end, an Energy-Balanced Adaptive Clustering Routing (EBACR) algorithm is proposed in this paper. In this algorithm, a cluster head node and its relay node are chosen by a comprehensive consideration of the Receiver Signal Strength Indicator (RSSI) values received by sensor nodes and the residual energy of sensor nodes, and the other nodes can then decide which cluster they will belong to. EBACR algorithm can adaptively build the routing by multiple attribute decisions, according to the changes of different attributes. The experimental results show that EBACR algorithm can get better performance in the aspect of energy balance and network lifetime compared with other three algorithms.
出处 《电子与信息学报》 EI CSCD 北大核心 2013年第12期2992-2998,共7页 Journal of Electronics & Information Technology
基金 国家自然科学基金重点项目(61131004) 国家自然科学基金(51108060) 辽宁省教育厅科学研究项目(L2013518)资助课题
关键词 无线传感器网络 能量均衡 自适应分簇 接收信号强度指示 Wireless sensor networks Energy-balanced Adaptive clustering Receiver Signal Strength Indicator(RSSI)
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共引文献10

同被引文献33

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