NDLI: A Descend-Based Evolutionary Approach to Enhance Position Estimation in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Tam, V. King-Yip Cheng King-Shan Lui
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Hong Kong Univ. (Tam, V.; King-Yip Cheng; King-Shan Lui)
Abstract	Wireless sensor networks have wide applicability to many important applications including environmental monitoring and military applications. Typically with the absolute positions of only a small portion of sensors predetermined, localization works for the precise estimation of the remaining sensor positions on which most location sensitive applications rely. Intrinsically, localization can be formulated as an unconstrained optimization problem based on various distance/path measures, for which most of the existing work focus on increasing its precision through different heuristic or mathematical techniques. In this paper, we propose to adapt an evolutionary approach, namely a micro-genetic algorithm (MGA), and its variant as postoptimizers to enhance the precision of existing localization methods including the Ad-hoc Positioning System. Our adapted MGA and its variants can easily be integrated into different localization methods. Besides, the prototypes of our evolutionary approach gained remarkable results on both uniform and anisotropic topologies of the simulation tests, thus prompting for many interesting directions for future investigation
Starting Page	568
Ending Page	574
File Size	142572
Page Count	7
File Format	PDF
ISBN	0769527280
ISSN	10823409
DOI	10.1109/ICTAI.2006.9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Biological cells Genetic mutations Optimized production technology Evolutionary computation Current measurement Position measurement Monitoring Virtual prototyping Anisotropic magnetoresistance
Content Type	Text
Resource Type	Article

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