Publication | Closed Access
DBSR: Dynamic Base Station Repositioning Using Genetic Algorithm in Wireless Sensor Network
25
Citations
5
References
2010
Year
Unknown Venue
Topology ControlDbsr AlgorithmBase Station ReplacementEngineeringWireless RoutingEdge ComputingWireless Sensor SystemComputer EngineeringGenetic AlgorithmSystems EngineeringInternet Of ThingsSensor OptimizationSensor PlacementCombinatorial OptimizationLocation Management
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 NP-hard 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.
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