Title: A chaos-enhanced accelerated PSO algorithm in reliable tracking of mobile objects

Authors: Sahar Teymori; Peyman Babaei

Addresses: Department of Computer Engineering (West Tehran Branch), Islamic Azad University, Tehran, Iran ' Department of Computer Engineering (West Tehran Branch), Islamic Azad University, Tehran, Iran

Abstract: Object tracking in monitoring applications is one of the topics in Internet of Things (IoT) issues. Most important key challenges in object tracking have concentrated on energy consumption and service quality and reliability. In the proposed approach the good performance of the PSO algorithm in global optimisation, and its weakness in local optimisation, is combined with the chaos operator to overcome this flaw. The purpose of the present research is to improve energy consumption and service quality and increase system reliability in mobile object tracking in WSNs. The goal is also to improve the algorithm performance. According to the results of the simulations, the energy consumption in the proposed method has been improved due to the optimal selection of the cluster heads. Also, the proposed method is stable while improving the reliability and increasing the quality of sensor network services.

Keywords: object tracking; wireless sensor network; chaos theory; particle swarm optimisation.

DOI: 10.1504/IJCAT.2021.121537

International Journal of Computer Applications in Technology, 2021 Vol.67 No.2/3, pp.263 - 274

Received: 08 Oct 2020
Accepted: 23 Jan 2021
Published online: 17 Mar 2022 *

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