Title :
Ranking-Based Statistical Localization for Wireless Sensor Networks
Author :
Zhang, Yu ; Zhang, Lin ; Shan, Xiuming
fDate :
March 31 2008-April 3 2008
Abstract :
This paper studies Ranking-Based localization method, which, as a special case of common Range-Based localization methods, statistically estimates node positions using the ranking-order constraints rather than the actual values of network measurements. Through extensive empirical evaluation, the advantages of Ranking-Based approach over traditional Range-Based approaches under extreme network conditions are verified. Ranking-Based approach turns out to be more robust to measurement insufficiency and more immune to measurement noise.
Keywords :
statistical analysis; wireless sensor networks; common range-based localization methods; ranking-based statistical localization; ranking-order constraints; wireless sensor networks; Communications Society; Distance measurement; Laboratories; Network topology; Noise measurement; Peer to peer computing; Pollution measurement; Position measurement; Stress; Wireless sensor networks;
Conference_Titel :
Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1997-5
DOI :
10.1109/WCNC.2008.450
