Differential evolution approach for localization in wireless sensor networks

In several traditional algorithms for optimization, the complexity of algorithm increases with expansion of system infrastructure. Resource constraint, cost and energy availability of wireless sensor network (WSN) demand a better node localization algorithm that doesn't require extra hardware as well as has better accuracy with good convergence. Sensor node localization is the ability of an individual node to determine the location information. The location information is the fundamental requirement for several WSN monitoring applications. Moreover the location information supports network management as well as enhances the performance of the network. This paper introduces differential evolution computation, gives an overview about minimization equation of wireless sensor networks localization error problem and then discusses an approach of differential evolution for minimization of localization error in wireless sensor networks.