Title: PSO-based localisation technique for mobile elements using expected hop progress in WSN

Authors: Prerana Shrivastava; Sanjay B. Pokle

Addresses: Department of Electronics and Communication Engineering, Lokmanya Tilak College of Engineering, India; Department of Electronics and Communication Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India ' Department of Electronics and Communication Engineering, Lokmanya Tilak College of Engineering, India; Department of Electronics and Communication Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India

Abstract: Most of the localisation technique in WSN suffers from error during localisation of the mobile nodes. In order to overcome this issue, we propose localisation technique based on particle swarm optimisation technique. In our proposed technique, we implement expected hop progress metric which helps to determine the distance between different mobile nodes within the transmission range in WSN. The particle swarm optimisation algorithm is used to determine the fitness function in the form of localisation error. The value with the least localisation error is considered as Gbest. The advantage of using the PSO-based localisation technique is that it provides with most accurate location information.

Keywords: wireless sensor networks; WSNs; localisation; particle swarm optimisation; PSO; mobile elements; expected hop progress.

DOI: 10.1504/IJMNDI.2015.072836

International Journal of Mobile Network Design and Innovation, 2015 Vol.6 No.2, pp.92 - 100

Received: 30 Jun 2014
Accepted: 13 Oct 2014
Published online: 04 Nov 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article