Clusters partition and sensors configuration for target tracking in wireless sensor networks

Authors:
Yongcai Wang;Dianfei Han;Qianchuan Zhao;Xiaohong Guan;Dazhong Zheng
Affiliations:
Tsinghua University, Beijing, P.R.China;Tsinghua University, Beijing, P.R.China;Tsinghua University, Beijing, P.R.China;Tsinghua University, Beijing, P.R.China;Tsinghua University, Beijing, P.R.China
Venue:
ICESS'04 Proceedings of the First international conference on Embedded Software and Systems
Year:
2004

Citing 4
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Abstract

Decisions on the number of clusters and the sensing radius will effectively affect the quality and energy metrics of WSN (wireless sensor networks) tracking systems. By presenting the mean number of the detectable sensors as a trajectory independent quality metric, an energy-quality optimization model is derived and Pareto based optimization strategy is proposed. The obtained 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 results.