Investigation of multi-objective optimisation techniques to minimise the localisation error in wireless sensor networks. (1st January 2021)

• Record Type: Journal Article
• Authors: Puvitha, Harriet; Palani, Saravanan; Vijayakumar, V.; Ravi, Logesh; Subramaniyaswamy, V.
• Is Part Of: International journal of grid and utility computing. Volume 12:Number 1(2021)
• Page Start: 33
• Page End: 42
• Publication Date: 2021-01-01
• Subjects: localisation models -- grasshopper optimisation -- butterfly optimisation -- Dijkstra -- path planning; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

Wireless Sensor Networks (WSN) have a major role in remote sensing environments. In recent trends sensors are used in various wireless technologies due to their smaller size, cheaper rates and ability to communicate with each other to create a network. The sensor network is the convergent technology of micro-electronics and electro-mechanical technologies. The localisation process can determine the location of each node in the network. Mobility-assisted localisation is an effective technique for node localisation using mobility anchor. The mobile anchor is also used to optimise the path planning for the location-aware mobile nodes. In this proposed system, a multi-objective method has been proposed to minimise the distance between the source and the target node using the Dijkstra algorithm with obstacle avoidance. The Grasshopper Optimisation Algorithm (GOA), and Butterfly Optimisation Algorithm (BOA) based multi-objective models have been implemented along with obstacle avoidance and path planning. The proposed system maximises the localisation accuracy. Also it minimises the localisation error and the computation time when comparing with existing systems.