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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Wang, Y., Han, D., Zhao, Q., Guan, X., & Zheng, D. (2005). Clusters partition and sensors configuration for target tracking in wireless sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3605 LNCS, pp. 333–338). Springer Verlag. https://doi.org/10.1007/11535409_47
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