Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Exposure in wireless Ad-Hoc sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
The Spatial Node Distribution of the Random Waypoint Mobility Model
Mobile Ad-Hoc Netzwerke, 1. deutscher Workshop über Mobile Ad-Hoc Netzwerke WMAN 2002
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Length-based anchor-free localization in a fully covered sensor network
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
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Localization is an important issue for Wireless Sensor Networks in a wireless sensor network. A mobile sensor may change its position rapidly and thus require localization calls frequently. It is important to control the number of localization calls, as it is rather expensive. The existing schemes for reducing the frequency of localization calls for mobile sensors uses the technique of extrapolation which involves simple arithmetic calculations. We propose a technique to control the localization that gives much better result. The proposed method involves very low arithmetic computation overheads. We find analytical expressions for the estimated error if the rate of localizations is specified. Simulation studies are carried out to compare the performances of the proposed method with the methods proposed by Tilak et al.