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Overview of Deployment and Redeployment Algorithms for Mobile Wireless Sensor Networks
Author(s) -
Saoucène Mahfoudh,
Pascale Minet,
Anis Laouiti
Publication year - 2012
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2012.06.128
Subject(s) - wireless sensor network , computer science , software deployment , distributed computing , particle swarm optimization , algorithm , convergence (economics) , distributed algorithm , network topology , wireless , genetic algorithm , computer network , wireless network , real time computing , telecommunications , machine learning , economics , economic growth , operating system
International audienceWireless sensor networks are usually randomly deployed in the monitored region. This initial deployment does neither achieve area coverage, nor ensure network connectivity. Thus, a redeployment algorithm has to be applied in order to meet these two requirements. In this paper, we overview existing centralized redeployment algorithms such as virtual forces or particle swarm optimization category, as well as distributed algorithms such as Distributed Self-Spreading Algorithm, Force based Genetic Algorithm, Mass-Spring Relaxation Algorithm, unified Scheme for Deployment and Relocation. We then discuss some open issues related to algorithm convergence, assumptions about the initial knowledge available like the initial topology, number of sensor nodes and obstacle positions

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