Staff Members - Benha University
Genetic based algorithm for base-station position determination in wireless sensor network
International Journal of Advancements in Computing Technology • 2016
Publication Information
Authors
ahmed Elsawy, Walid Osamy
Keywords
Not Available
Journal
International Journal of Advancements in Computing Technology
Publisher
Not Available
Volume
8
Issue
5
Pages
16-27
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
Energy is a critical issue in the network lifetime of a wireless sensor network (WSN). Thus, the main
challenge in WSNs is to employ energy aware strategies. In this paper, our goal is to minimize total the
energy consumption and to prolong the lifetime of a WSN by moving the base station (BS) to the best
location in WSN. Therefore, a genetic based algorithm is proposed for finding the best location of BS in
clustered-based WSN. Simulations have been conducted on the base of probabilistic and deterministic
clustering strategies in WSN. Our simulation results compared with others algorithms and show that
the proposed GA algorithm has a more advantage in increasing network lifetime.
challenge in WSNs is to employ energy aware strategies. In this paper, our goal is to minimize total the
energy consumption and to prolong the lifetime of a WSN by moving the base station (BS) to the best
location in WSN. Therefore, a genetic based algorithm is proposed for finding the best location of BS in
clustered-based WSN. Simulations have been conducted on the base of probabilistic and deterministic
clustering strategies in WSN. Our simulation results compared with others algorithms and show that
the proposed GA algorithm has a more advantage in increasing network lifetime.