DBSR: Dynamic base station Repositioning using Genetic algorithm in wireless sensor network

TL;DR

This paper introduces DBSR, a genetic algorithm-based method for dynamically repositioning the base station in wireless sensor networks to optimize energy use and extend network lifetime.

Contribution

It presents a novel genetic algorithm approach for dynamic base station repositioning considering energy and distance, improving network longevity.

Findings

Enhanced network lifetime with dynamic repositioning

Effective energy savings through optimized base station placement

Validated on LEACH and HEED protocols

Abstract

Wireless sensor networks (WSNs) are commonly used in various ubiquitous and pervasive applications. Due to limited power resources, the optimal dynamic base station (BS) replacement could be Prolong the sensor network lifetime. In this paper we'll present a dynamic optimum method for base station replacement so that can save energy in sensors and increases network lifetime. Because positioning problem is a NPhard problem [1], therefore we'll use genetic algorithm to solve positioning problem. We've considered energy and distance parameters for finding BS optimized position. In our represented algorithm base station position is fixed just during each round and its positioning is done at the start of next round then it'll be placed in optimized position. Evaluating our proposed algorithm, we'll execute DBSR algorithm on LEACH & HEED Protocols.