基于活动预测和能耗均衡的WSN路由算法

发布时间：2018-05-04 03:36

本文选题：活动模式 + 分簇算法　；参考：《北京航空航天大学学报》2014年01期

【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,ActivityAware 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.
[Abstract]:Node trigger and data transmission in wireless Sensor network often present some kind of active mode. Based on the characteristics of active mode, an activity-based node clustering algorithm is proposed, which divides sensor nodes into multiple active clusters. By analyzing the historical trigger data of the nodes and combining the clustering results, the current activities are predicted. Based on the results of activity prediction, considering the influence factors such as energy balance, node residual energy and transmission energy consumption, a WSN routing algorithm based on activity prediction and energy balance is proposed, which is AEBRP- Activity-aware and Energy Balanced Routing protocol. The simulation results are compared with low power adaptive clustering protocol, low Energy Adaptive Clustering Energy Adaptive Clustering hierarchical protocol, dynamic node clustering algorithm based on tracking, HCMTTHybrid Clustering for Multitarget Tracking in wireless sensor networks), and energy efficient acquisition algorithm, PEGASIS Power Efficient Gathering in Sensor Information System), in sensor information systems. It is verified that AEBRP algorithm has obvious advantages in maintaining network energy balance and prolonging network life cycle.
【作者单位】：重庆大学计算机学院;
【基金】：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)
【分类号】：TN929.5;TP212.9

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