Clusters Partition and Sensors Configuration for Tracking in Wireless Sensor Networks
For cluster-based tracking in wireless sensor networks (WSN),different decisions on the number of clusters and the sensing radius will effectively affect the lifetime of the network and the tracking accuracy.In this paper, the mean number of the detectable sensors is presented as a trajectory independent quality metric. Energy-quality optimization model is derived and Pareto based solution strategy is proposed. The non-bad solutions (Pareto Fronts) can be used to direct the clusters partition and sensors configuration. Comparing with simulation, more than 80% of these Pareto Fronts are coincident with those in experiment resuits.
Yongcai Wang Dianfei Han Qianchuan Zhao Xiaohong Guan Dazhong Zheng
Tsinghua University, Beijing, 100084, P.R.China
国际会议
首届嵌入式软件与系统国际会议(Proceedings of the First International Conference on Embedded Software and System)
杭州
英文
237-242
2004-12-09(万方平台首次上网日期,不代表论文的发表时间)