Date of Publication :31st January 2018

Abstract: In Present time, Wireless sensor networks (WSNs) can be applied in many different applications areas. It is a network of sensor nodes whose primary work is to collect the data from sensing field and process these data. Hence, in WSNs, localization problem can be occurred due to lack of information about the accurate positions of sensor nodes. The localization algorithms divide into range free and range-based algorithms. Due to hardware limitations of WSNs devices, range-free localization algorithms are more widely adopted to determine the position of nodes in sensor fields. But, these algorithms have the tendency of error during the computation of nodes positions. DV-hop is one of the popular range-free localization algorithms that can widely be adopted in WSNs and works on the concept of hop distance estimation. In this paper, an improved version of DV-hop localization algorithm is proposed based on cat swarm optimization algorithm, called CSO DV-Hop algorithm. The main concern of the integration of CSO algorithm with the DV-Hop algorithm is to reduce the localization error of DV-Hop algorithm. The simulation results reveal that proposed algorithm enhances the location accuracy in comparison to other algorithms being compared.

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