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An Optimized Modelling of PSO to Enhance WSN Clustering Operations in a Multi-cast Routing Environment


G. Nandini and J. Anitha
Abstract

In the recent time clustering based communication often found to follow graph (tree) based topology formation and also mesh-based technique to support multi-cast routing in a data-driven wireless sensor network (WSN). However, till date, multicast routing has offered both rationalized data services and energy efficient communication by incorporating particle swarm optimization (PSO) but later found it lacks design efficiency in many sensor-based applications owing to different aspects, e.g., link failure, channel fading, etc. Also, the conventional PSO suffers from a higher degree of computational steps which leads to complexity problems. In this paper, an optimized modelling of PSO has been designed and implemented for the purpose of achieving energy efficient clustering followed by energy aware multicasting in a WSN communication. The prime contribution of the paper lies in assuring better probability of selecting cluster head (CH) to minimize the transmittance and receiving energy consumption of a CH by implementing less iterative PSO in a multi-cast routing. Moreover, the experimental outcomes evaluated further ensured that the proposed PSO achieves better outcomes regarding processing time as well as energy consumption per rounds as compared to the conventional LEACH protocol.

Volume 11 | 03-Special Issue

Pages: 1908-1918