Research Article
Energy-Efficient Target Tracking in Sensor Networks
@INPROCEEDINGS{10.1007/978-3-642-17994-5_17, author={Loredana Arienzo and Maurizio Longo}, title={Energy-Efficient Target Tracking in Sensor Networks}, proceedings={Ad Hoc Networks. Second International Conference, ADHOCNETS 2010, Victoria, BC, Canada, August 18-20, 2010, Revised Selected Papers}, proceedings_a={ADHOCNETS}, year={2012}, month={5}, keywords={Sensor networks tracking particle filters energy efficient cross-layer optimization cluster}, doi={10.1007/978-3-642-17994-5_17} }- Loredana Arienzo
Maurizio Longo
Year: 2012
Energy-Efficient Target Tracking in Sensor Networks
ADHOCNETS
Springer
DOI: 10.1007/978-3-642-17994-5_17
Abstract
In this paper, the problem of collaborative tracking of mobile nodes in wireless sensor networks is addressed. Aiming at an energy efficient solution, we propose a strategy of combining target tracking with node selection procedures in order to select informative sensors to minimize the energy consumption of the tracking task using the energy model by Heinzelman, 2000. We layout a cluster-based architecture to address the limitations in computational, battery power and communications of the sensor devices. The node selection problem is formulated as a cross-layer optimization problem that is solved using a greedy algorithm. To track mobile nodes two particle filters are used: the bootstrap particle filter and the unscented particle filter, both in the centralized and in the distributed manner. Their performance are compared with the distributed sigma-point information filter in literature, under two common channel models: the log-normal shadowing and the Rayleigh fading.
