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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.
Due to the limited amount of power carried by the sensor node, it often fails because of the exhaustion of power in the target tracking process.In order to reduce the node energy consumption and extend the network lifetime, a dynamic cluster target tracking algorithm based on energy efficiency With the moving of target, the best tracking cluster is generated quickly. Based on the quality evaluation model of perceptual signal, a new mechanism of cluster head election and screening mechanism of node reporting data is proposed, which effectively reduces the total communication of nodes The energy consumption is reduced.The simulation results show that this algorithm has higher energy efficiency than the traditional target tracking algorithm.