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 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 [1], therefore we will use genetic algorithm to solve positioning problem. We have 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 will be placed in optimized position. Evaluating our proposed algorithm, we will execute DBSR algorithm on LEACH & HEED Protocols.

No abstract

No abstract

No abstract

Abstract.A wireless sensor network consists of tiny sensing devices, with limited energy and processing ability. Some time we have to distribute a database on sensor network, because of limited energy in sensors, load balanced distributing database can increase the lifetime of this networks. In this paper we propose Fuzzy based approach for Load balanced distributing database on sensor Network that prolonging the network lifetime. We use vertical partitioning algorithms for distributing database on sensors. First we clustering the network and then distribute partitions on clusters. A simulator was built and Results of various simulation runs are consistent with the hypothesis.