DefinePK

Abstract

In wireless sensor network, sensor nodes are deployed randomly depending on the application. The sensor node location is very much important to make a meaningful sense of the data gathered by the sensor network. The intelligence of the environment is assisted by wireless sensor network by using the location information of the sensor nodes. In this paper a novel algorithm named group search optimizer localization algorithm is proposed for sensor node location information detection. This algorithm is based on producer scrounger model of animal behavior. The location information detection is required to increase the performance and reliability of wireless sensor networks (WSN). It also increases the lifetime of the network by guiding the network without unwanted routing.