Title: Optimal load balancing strategy-based centralised sensor for a WSN-based cloud-IoT framework using a hybrid meta-heuristic strategy

Authors: G.S.R. Yogaraja; M.N. Thippeswamy; K. Venkatesh

Addresses: Department of Information Science and Engineering, SJC Institute of Technology, Chickaballapur, 562101, India ' Department of Computer Science and Engineering (AI&ML and Cyber Security), Ramaiah Institute of Technology, MSR Nagar, Bangalore, 560054, Karnataka, India ' Department of Computer Science & Engineering, Nitte Meenakshi Institute of Technology, Bangalore, 560064, India

Abstract: This paper is to implement a load balancing centralised server to control the wireless sensor networks (WSN) connected to internet of things (IoT) and cloud. The WSN gathers data pertaining to diverse applications and transfers it to a centralised server in the cloud through the IoT channel. Sever controls the routing of each node in the WSN through an optimal load balancing strategy. A hybrid meta-heuristic algorithm with the Forest-Cat Optimisation Algorithm (F-COA) is introduced for accomplishing a centralised load balanced strategy in the communication system. The fundamental constraints used in the proposed models are clustering parameters like distance between nodes, energy, and delay, load balancing parameters like response time, turnaround time, server load, and QoS parameters like resource utilisation, execution time, and throughput. The experimental results present superior performance through multi-objective optimisation when compared to the other approaches in terms of different constraints.

Keywords: IoT; internet of things; cloud computing; WSN; wireless sensor networks; optimal routing; F-COA; Forest-Cat Optimisation Algorithm; load balancing; multi-objective function.

DOI: 10.1504/IJAACS.2024.138167

International Journal of Autonomous and Adaptive Communications Systems, 2024 Vol.17 No.3, pp.247 - 271

Received: 20 Jan 2022
Accepted: 11 Apr 2022
Published online: 30 Apr 2024 *

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