DocumentCode :
1992631
Title :
Mobility-Assisted Position Estimation in Wireless Sensor Networks
Author :
Chen, Hongyang ; Huang, Pei ; So, Hing Cheung ; Sezaki, Kaoru
Author_Institution :
Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
fYear :
2008
fDate :
8-10 Dec. 2008
Firstpage :
607
Lastpage :
614
Abstract :
Wireless sensor networks (WSNs) have been proposed for a multitude of location-dependent applications. To stamp the collected data and facilitate communication protocols, it is necessary to identify the location of each sensor. In this paper, we discuss the performance of a novel received signal strength indicator (RSSI) positioning scheme, which uses a generalized geometrical location algorithm to achieve an accurate estimation based on mean received signal strength measurements. In order to improve the network performance and address limitations of static WSNs position estimation, mobile sensors are utilized effectively and an attractive movement strategy with mobile elements is designed. The effectiveness of our approach is validated and compared with the traditional RSSI method by extensive simulations.
Keywords :
protocols; wireless sensor networks; communication protocol; generalized geometrical location algorithm; location-dependent application; mean received signal strength measurement; mobile sensor; mobility-assisted position estimation; received signal strength indicator positioning scheme; wireless sensor networks; Additive white noise; Computer industry; Computer science; Electronics industry; Industrial electronics; Monitoring; Protocols; State estimation; USA Councils; Wireless sensor networks; Geometrical location; RSSI; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems, 2008. ICPADS '08. 14th IEEE International Conference on
Conference_Location :
Melbourne, VIC
ISSN :
1521-9097
Print_ISBN :
978-0-7695-3434-3
Type :
conf
DOI :
10.1109/ICPADS.2008.62
Filename :
4724371
Link To Document :
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