Acta Scientific Computer Sciences

Literature Review Volume 3 Issue 7

Genetic Algorithm Based Technique for Selecting the Base Station Location in Clustered Based WSNs

Ahmed Aziz1,2*, Dilafruz Nabieva3,4 and Dilafruz Nasirkhodjaeva2

1Department of Computer Science, Faculty of Computers and Informatics, Benha University, Benha, Egypt
2Tashkent State University of Economics, Tashkent, Uzbekistan
3"Silk Road" International University of Tourism, Samarkand, Uzbekistan
4University of Las Palmas de Gran Canaria, Canary Island, Spain

*Corresponding Author: Ahmed Aziz, Department of Computer Science, Faculty of Computers and Informatics, Benha University, Benha, Egypt.

Received: May 24, 2021; Published: June 25, 2021

Abstract

Wireless sensor nodes (WSNs) can perform some processing, collect sensor information, and communicate with other nodes to form a WSN. Power saving operation is an important issue for WSN design to extend the life of the network. Clustering is one of the most widely used methods to improve energy efficiency. In this article, we consider clustered WSN with a mobile base station (BS). Once the nodes are grouped and the head node of the group selected, the optimal position of the BS is determined based on the genetic algorithm (GA) relative to the head nodes. Compared with other results, the results of our simulation show that the proposed GA-based algorithm has more advantages in energy saving.

Keywords: Clustered WSN; Mobile Base Station; Genetic Algorithm

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Citation

Citation: Ahmed Aziz., et al. “Genetic Algorithm Based Technique for Selecting the Base Station Location in Clustered Based WSNs". Acta Scientific Computer Sciences 3.7 (2021): 83-90.

Copyright

Copyright: © 2021 Ahmed Aziz., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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