Authors: Samira Afzal Hamid Beigy
Publish Date: 2014/03/13
Volume: 69, Issue: 1, Pages: 98-120
Abstract
Localization is a crucial problem in wireless sensor networks and most of the localization algorithms given in the literature are nonadaptive and designed for fixed sensor networks In this paper we propose a learning based localization algorithm for mobile wireless sensor networks By this technique mobility in the network will be discovered by two crucial methods in the beacons position and distance checks methods These two methods help to have accurate localization and constrain communication just when it is necessary The proposed method localizes the nodes based on connectivity information hop count which doesn’t need extra hardware and is cost efficient The experimental results show that the proposed algorithm is scalable with a small set of beacons in large scale network with a high density of nodes The given algorithm is fast and free from a predeployment requirement The simulation results show the high performance of the proposed algorithm
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