Prolonging the Lifetime of the Wireless Sensor Network Based on Blending of Genetic Algorithm and Ant Colony Optimization

Abstract

The application of WSN has developed manifolds in the last few years. The lifetime of a sensor node is mainly focused around the battery fuelled gadgets. There are numerous strategies to save energy and one of the best viable techniques of saving energy was discovery of the multipath shortest route from source to destination for both data dissemination and data aggregation. In this paper, we propose a hybrid model for energy optimization focused on formation of Cluster and Cluster Head determination based on Genetic Algorithm. And then apply an Ant Colony Optimization algorithm to find the shortest path from source Cluster Head to destination Sink using multipath routing data transmission. This will help to obtain reliable communication in case of node failure by means of route refurbish mechanism. The fundamental objective is to retain maximum lifetime of the network throughout the data transmission phase in a proficient manner. The proposed algorithm was compared with Genetic Algorithm Based Energy Efficient Clusters [5] and Energy Efficiency Performance Improvements for Ant-Based Routing Algorithm [12] for energy efficiency. The effectiveness of the proposed algorithm is demonstrated by simulations.

Warehouse stocking optimization based on dynamic ant colony genetic algorithm

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