Better Neighbors, Longer Life: an Energy Efficient Cluster Head Selection Algorithm in Wireless Sensor Networks based on Particle Swarm Optimization | ||
| Journal of AI and Data Mining | ||
| دوره 11، شماره 3، مهر 2023، صفحه 443-451 اصل مقاله (1.3 M) | ||
| نوع مقاله: Technical Paper | ||
| شناسه دیجیتال (DOI): 10.22044/jadm.2023.12701.2421 | ||
| نویسندگان | ||
| Mahsa Dehbozorgi1؛ Pirooz Shamsinejadbabaki* 2؛ Elmira Ashoormahani1 | ||
| 1Department of Computer Engineering, Pasargad Higher Education Institute, Shiraz, Iran. | ||
| 2Department of Computer Engineering and Information Technology, Shiraz University of Technology, Shiraz, Iran. | ||
| چکیده | ||
| Clustering is one of the most effective techniques for reducing energy consumption in wireless sensor networks. But selecting optimum cluster heads (CH) as relay nodes has remained as a very challenging task in clustering. All current state of the art methods in this era only focus on the individual characteristics of nodes like energy level and distance to the Base Station (BS). But when a CH dies it is necessary to find another CH for cluster and usually its neighbor will be selected. Despite existing methods, in this paper we proposed a method that considers node neighborhood fitness as a selection factor in addition to other typical factors. A Particle Swarm Optimization algorithm has been designed to find best CHs based on intra-cluster distance, distance of CHs to the BS, residual energy and neighborhood fitness. The proposed method compared with LEACH and PSO-ECHS algorithms and experimental results have shown that our proposed method succeeded to postpone death of first node by 5.79%, death of 30% of nodes by 25.50% and death of 70% of nodes by 58.67% compared to PSO-ECHS algorithm | ||
| کلیدواژهها | ||
| Optimization؛ neighborhood fitness؛ energy consumption | ||
| مراجع | ||
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