Title: Enhancement of network lifetime of cloud-assisted internet of things: new contribution of deer hunting and particle swarm optimisation

Authors: Abdalla Alameen; Ashu Gupta

Addresses: Department of Computer Science, College of Arts and Sciences, Prince Sattam Bin Abdulaziz University, Wadi-Dawasir, Kingdom of Saudi Arabia ' Department of Computer Science, College of Arts and Sciences, Prince Sattam Bin Abdulaziz University, Wadi-Dawasir, Kingdom of Saudi Arabia

Abstract: In general, WSN maintains the chief support of cloud-assisted internet of things (CIoT). This paper intends to implement a WSN-assisted CIoT model which involves two processes: one is optimal cluster head selection, and the other is optimal shortest path selection. The main intent of this optimal cluster head selection is to select a cluster head using a hybrid optimisation algorithm with the objective of minimising the distance between each IoT sensor node and cluster head and consumed energy. Moreover, the same hybrid algorithm is used in the optimal shortest path selection process. The beneficial concepts of two well-performing meta-heuristic algorithms like deer hunting optimisation algorithm (DHOA), and particle swarm optimisation (PSO) are merged to frame a hybrid algorithm termed as particle swarm-based deer hunting optimisation algorithm (PS-DHOA) to be suited for both cluster head selection and route selection. Developed model has been validated through effective performance analysis.

Keywords: cloud environment; wireless sensor network; distance; normalised energy; IoT; hybrid optimisation algorithm.

DOI: 10.1504/IJCNDS.2021.114452

International Journal of Communication Networks and Distributed Systems, 2021 Vol.26 No.3, pp.245 - 271

Received: 10 Oct 2019
Accepted: 10 Jan 2020

Published online: 22 Apr 2021 *

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