IMPROVING THE CLUSTER HEAD SELECTION METHOD BETWEEN CLUSTERS USING GENETIC ALGORITHMS AND ANT COLONIES FOR THE PURPOSE OF ENERGY EFFICIENCY IN WSN
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Abstract
A state-of-the-art debate around the world, which has received a lot of attention is the Wireless Sensor Networks (WSN). It is a combination of many sensor nodes with a small size and limited telecommunication and computation capabilities to collect and transfer information from one environment to the user or the base station. The present study aims to improve the efficiency of WSNs. In the suggested genetic algorithm, the meta-innovative method for problem-solving and selection of cluster heads was devised. To optimize the place of cluster heads and to receive the data of each cluster, a path with the lowest amount of energy consumption should be found for this purpose the ant colony algorithm was considered. The results of the study show that the offered algorithms reduced the consumed energy of the transmission by shortening data transmission. The reason the transmission length was regarded as the cost function is the same transmission cost as the cluster heads.
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