中文摘要：

为以较低的能耗高效地解决多目标区域轨迹跟踪问题,并有效地延长网络生存期,该文提出了一种新的基于边权值动态轨迹的多目标区域跟踪算法EWDT。该算法首先通过对任意指定的一块区域进行边权值计算,对该区域中目标的个数、身份及状态等关键信息进行分析和确认;其次设计了节点状态转换机制,并利用动态跟踪簇以及卡尔曼滤波技术对目标进行轨迹跟踪,以进一步降低系统能耗与时延。实验结果表明,EWDT算法与目前的Forms和LLS方法相比,明显降低了系统能耗与时延,具有较强的实用性。

英文摘要：

For solving multi-objective trajectory tracking problem by lower energy consumption costs and extending the network lifetime in wireless sensor networks, a new multi-target area tracking algorithm（EWDT） is presented based on edge weights dynamic trajectory. EWDT analyzes and confirms the number, identity and status of the target by calculating the value of edge weights in the any given area. To further reduce the energy consumption and latency, EWDT designs the node state transition mechanism and utilizes dynamic tracking clustering and Kaman filtering techniques to track the target trajectory. Experimental results show that EWDT can reduces the system power consumption and latency significantly comparing with the current Forms and locality aware location service（LLS） algorithm.