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Collaborative Re-Localization Method in Mobile Wireless Sensor Network Based on Markov Decision Process
Mona Nasseri, Robert C. Green, Mansoor Alam, Junghwan Kim, Vijay Devabhaktuni, Wei Cheng
Pages - 76 - 91     |    Revised - 10-08-2014     |    Published - 15-09-2014
Volume - 6   Issue - 5    |    Publication Date - September / October 2014  Table of Contents
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KEYWORDS
Mobile Wireless Sensor Network, Markov Decision Process, Mobility Patterns, Time Bounded Essential Localization.
ABSTRACT
Localization in Mobile Wireless Sensor Networks (WSNs), particularly in areas like surveillance applications, necessitates triggering re-localization in different time periods in order to maintain accurate positioning. Further, the re-localization process should be designed for time and energy efficiency in these resource constrained networks. In this paper, an energy and time efficient algorithm is proposed to determine the optimum number of localized nodes that collaborate in the re-localization process. Four different movement methods (Random Waypoint Pattern, Modified Random Waypoint pattern, Brownian motion and Levy walk) are applied to model node movement. In order to perform re-localization, a server/head/anchor node activates the optimal number of localized nodes in each island/cluster. A Markov Decision Process (MDP) based algorithm is proposed to find the optimal policy to select those nodes in better condition to cooperate in the re-localization process. The simulation shows that the proposed MDP algorithm decreases the energy consumption in the WSN between 0.6% and 32%.
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Dr. Mona Nasseri
Dept. of Electrical Engineering and Computer Science University of Toledo Toledo, OH 43606 - United States of America
Dr. Robert C. Green
University of Toledo - United States of America
greenr@bgsu.edu
Dr. Mansoor Alam
Dept. of Electrical Engineering and Computer Science University of Toledo Toledo, OH 43606 - United States of America
Dr. Junghwan Kim
Dept. of Electrical Engineering and Computer Science University of Toledo Toledo, OH 43606 - United States of America
Mr. Vijay Devabhaktuni
Dept. of Electrical Engineering and Computer Science University of Toledo Toledo, OH 43606 - United States of America
Dr. Wei Cheng
Dept. of Computer Science Virginia Commonwealth University Richmond, VA 23284 - United States of America


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