Error Minimization in Localization of Wireless Sensor Networks Using Genetic Algorithm
The important tasks in a wireless sensor network such as routing, target tracking are highly dependent on the location of a sensor node. Hence localization becomes an essential criterion in wireless sensor networks. Higher the localization accuracy better is the performance of the sensor network as a whole. Traditional mathematical algorithms can be used for localization. But these algorithms do not give very high localization accuracy. Genetic algorithm is proven to be effective in searching a solution space and hence can be modeled for the localization problem in Wireless Sensor Network (WSN). The strategy used in this paper for localization uses two phases.