IMPROVING THE CLUSTER HEAD SELECTION METHOD BETWEEN CLUSTERS USING GENETIC ALGORITHMS AND ANT COLONIES FOR THE PURPOSE OF ENERGY EFFICIENCY IN WSN
Main Article Content
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.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
