基于能效的动态分簇目标跟踪算法

An Energy-Efficiency Dynamic Clustering Target Tracking Algorithm in WSNs

由于传感器节点携带的电量受限,在目标跟踪的过程中,往往会因为电量耗尽而失效.为了降低节点的能耗,延长网络寿命,提出了一种基于能效的动态簇目标跟踪算法,能够随着目标的移动,快速地生成最优的跟踪簇,并根据感知信号的质量评价模型,提出了一种新的簇头竞选机制和节点上报数据的筛选机制,有效地减少了节点的通信总量,降低了能耗.仿真结果表明,该算法与传统的目标跟踪算法相比,具有更高的能效.

Because of the limited energy of sensor node,in the process of target tracking,nodes are often invalid for energy exhausted.In order to reduce the energy consumption and prolong the network lifetime,this paper puts forward an energy-efficiency dynamic clustering target tracking algorithm,which can quickly generate the optimal tracking cluster with the movement of target.And according to quality evaluation model of the sensing data,this paper proposes a novel cluster head election mechanism and a new screening mechanism of node data quality,which can effectively reduce total data communication of nodes and the energy consumption.The simulation results show that the proposed algorithm improves a higher energy efficiency.