WSNs自适应DCS目标跟踪算法

无线传感器网络中传感器节点相互协同完成感知任务,以传感器量测的信息效用和获取量测的能量消耗来折中地选择参与的节点。针对IDSQ和DCS算法仅在节点协同环节极小化能耗的问题,提出自适应DCS算法(ADCS),以用户设定的精度阈值为约束,根据当前性能指标自适应降低节点采样频率,在数据采集阶段对节点进行有效控制,从根源上实现了极小化网络能耗的目的。仿真结果表明:ADCS在满足用户精度需求的前提下,大幅度减少了网络能耗。

Adaptive DCS algorithm for target tracking in WSNs

Sensors should be selected elaborately to fulfil the sensing task in wireless sensor networks,sensor selection is based on the tradeoff between information utility achieved by the sensor measure and energy overhead to fetch the measure.Adaptive DCS algorithm(ADCS)is proposed to solve the problem that IDSQ and DCS minimize energy consumption only in node-collaboration.Based on the current accuracy and the accuracy threshold,the algorithm adaptively samples could effectively control the nodes in data-acquisition,and minimizes the energy consumption for the whole networks.Simulation results show that ADCS can significantly reduce energy consumption on the premise of satisfying the accuracy threshold.