Title :
RARE: An Energy-Efficient Target Tracking Protocol for Wireless Sensor Networks
Author :
Olule, Elizabeth ; Wang, Guojun ; Guo, Minyi ; Dong, Mianxiong
Author_Institution :
Central South Univ., Changsha
Abstract :
Energy efficiency for target tracking in wireless sensor networks is very important and can be improved by reducing the number of nodes involved in communications. We propose two algorithms, RARE-area and RARE-node to reduce the number of nodes participating in tracking and so increase energy efficiency. The RARE-area algorithm ensures that only nodes that receive a given quality of data participate in tracking and the RARE-node algorithm ensures that any nodes with redundant information do not participate in tracking. Simulation studies show significant energy savings are obtained with implementation of either the RARE-area algorithm alone or both RARE-area and RARE-node algorithms together.
Keywords :
target tracking; wireless sensor networks; energy-efficient target tracking protocol; redundant information; wireless sensor networks; Clustering algorithms; Computer science; Energy efficiency; Information science; Power engineering and energy; Sensor fusion; Sensor phenomena and characterization; Target tracking; Wireless application protocol; Wireless sensor networks; data accuracy; energy efficiency; network lifetime; target tracking; wireless sensor networks;
Conference_Titel :
Parallel Processing Workshops, 2007. ICPPW 2007. International Conference on
Conference_Location :
Xian
Print_ISBN :
0-7695-2934-8
Electronic_ISBN :
1530-2016
DOI :
10.1109/ICPPW.2007.71