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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Wang, Y., Han, D., Zhao, Q., Guan, X., Zheng, D. (2005). Clusters Partition and Sensors Configuration for Target Tracking in Wireless Sensor Networks. In: Wu, Z., Chen, C., Guo, M., Bu, J. (eds) Embedded Software and Systems. ICESS 2004. Lecture Notes in Computer Science, vol 3605. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11535409_47
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DOI: https://doi.org/10.1007/11535409_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28128-3
Online ISBN: 978-3-540-31823-1
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