Date Added: Mar 2010
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 the authors will 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 NP-hard problem, therefore they will use genetic algorithm to solve positioning problem. The authors have considered energy and distance parameters for finding BS optimized position.