Energy Efficient Target Tracking with Particle Filtering Techmique in Wireless Sensor Networks
AbstractIn this study, a new target tracking algorithm is proposed for wireless sensor networks. The aim of the algorithm is to decrease energy consumption of the system by decreasing the ratio of target misses. Next location of the target is predicted by using Particle Filtering (PF) technique which aims to represent the posterior density function by a set of random samples with associated weights. Nodes are deployed according to the hexagon shaped network topology in which each of the hexagons represents a cluster with a predetermined leader node. In order to decrease the ratio of target misses, nodes that are closer to the target's predicted location are woken up to make them ready to detect the target. This increases the probability of detecting the target by one of the neighboring hexagons when the target makes sudden turns or unexpected movements. Tracking performance of the proposed algorithm is evaluated by comparing with KNearest Cluster Tracking (KNCT), Wakening Based Target Tracking Algorithm (WBTA) and Generic Static Tracking Approach (GSTA) in terms of miss ratio and energy consumption metrics.
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Alaybeyoglu, A. Energy Efficient Target Tracking with Particle Filtering Techmique in Wireless Sensor Networks. Math. Comput. Appl. 2011, 16, 809-818.
Alaybeyoglu A. Energy Efficient Target Tracking with Particle Filtering Techmique in Wireless Sensor Networks. Mathematical and Computational Applications. 2011; 16(4):809-818.Chicago/Turabian Style
Alaybeyoglu, Aysegul. 2011. "Energy Efficient Target Tracking with Particle Filtering Techmique in Wireless Sensor Networks." Math. Comput. Appl. 16, no. 4: 809-818.