文章基本信息

标题：Prolonging the Lifetime of the Wireless Sensor Network Based on Blending of Genetic Algorithm and Ant Colony Optimization
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作者：Sanjeev Wagh ; Soumitra Das
期刊名称：Journal of Green Engineering
印刷版ISSN：1904-4720
电子版ISSN：2245-4586
出版年度：2014
卷号：4
期号：3
页码：245-260
DOI：10.13052/jge1904-4720.435
语种：English
出版社：River Publishers
摘要：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.
关键词：ACO; Clustering; Data Aggregation; Energy Efficient Routing; EEABR; GABEEC; GA; WSN