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. |
