Author : Panyammary Kalyani 1
Date of Publication :3rd March 2017
Abstract: Wireless sensor networks(WSN) has a wide range of applications in different domains such as environmental monitoring , disaster management ,target tracking, military affairs etc. In WSN the sensors are randomly deployed in the sensor field and hence estimation of the localization of each deployed node has drawn more attention by the recent researchers.Node localization in Wireless Sensor Networks (WSNs), plays a critical role In this paper some popular bio inspired optimization method Hybrid PSOGA is compared with the recent optimization method known as Firefly algorithm. This paper conducts experimental simulation, comparison and evaluation work in the node localization using Firefly algorithm and Hybrid PSOGA by considering distance factor and improved objective function . Giving the distances between a sensor and a few of its 1-hop neighbors, the proposed algorithm can estimate the sensor positions. Simulation results show that the proposed method can achieve better results than those obtained from the HybridPSOGA.
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