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基于活动预测和能耗均衡的WSN路由算法

汪成亮 王强

汪成亮, 王强. 基于活动预测和能耗均衡的WSN路由算法[J]. 北京航空航天大学学报, 2014, 40(1): 10-17.
引用本文: 汪成亮, 王强. 基于活动预测和能耗均衡的WSN路由算法[J]. 北京航空航天大学学报, 2014, 40(1): 10-17.
Wang Chengliang, Wang Qiang. Activity-aware & energy balance based routing protocol for wireless sensor networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(1): 10-17. (in Chinese)
Citation: Wang Chengliang, Wang Qiang. Activity-aware & energy balance based routing protocol for wireless sensor networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(1): 10-17. (in Chinese)

基于活动预测和能耗均衡的WSN路由算法

基金项目: 国家自然科学基金资助项目(61004112);中央高校基本科研基金资助项目(CDJZRI2180006)
详细信息
  • 中图分类号: TN911.7

Activity-aware & energy balance based routing protocol for wireless sensor networks

  • 摘要: 无线传感网络(WSN,Wireless Sensor Network)中节点触发与数据传输往往会呈现出某种活动模式,基于活动模式特性提出了基于活动的节点分簇算法(AACP,Activity-Aware Clustering Protocol),将网络中的传感器 节点分成多个活动簇,并通过对节点的历史触发数据进行分析,结合分簇结果对当前发生的活动进行预测.基于活动预测结果,综合能耗均衡、节点剩余能量、传输能耗等影响因素,提出了基于活动预测和能耗均衡的WSN路由算法(AEBRP,Activity-aware and Energy Balanced Routing Protocol).仿真实验中与低功耗自适应集簇分层型协议(LEACH,Low Energy Adaptive Clustering Hierarchy)、基于跟踪的动态节点分簇算法(HCMTT,Hybrid Clustering for Multitarget Tracking in wireless sensor networks)和传感器信息系统中的高能效采集算法(PEGASIS,Power Efficient Gathering in Sensor Information System)进行比较,验证了AEBRP算法在维持网络能耗均衡、延长网络生命周期方面具有明显优势.

     

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出版历程
  • 收稿日期:  2013-03-20
  • 网络出版日期:  2014-01-20

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