Title: A hybrid optimisation algorithm based on GA algorithm and ACO algorithm improvements for routing selection in heterogeneous sensor networks

Authors: Mei Wu; Ning Cao; Haihui Wang; Lina Xu; Guofu Li

Addresses: School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China ' College of Information Engineering, Qingdao Binhai University, Qingdao, China ' School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China ' School of Computer Science, University College Dublin, Dublin, Ireland ' University of Shanghai for Science and Technology, Shanghai, China

Abstract: Wireless sensor applications have been pushed to the forefront in recent years mostly owing to the advent of the internet of networks. Using genetic algorithms and ant colony optimisation algorithms, many achievements have been made on engineering design problems, but the results optimised by these methods are often not satisfied by wireless sensor applications. In this paper, GAAC, a hybrid routing algorithm, is designed aiming to the defects of simple genetic algorithm and ant colony algorithm. With improvement, simulation results show that GAAC has made great effects in convergence precision.

Keywords: routing; clustering; genetic algorithm; improvement; sensor networks.

DOI: 10.1504/IJES.2020.105935

International Journal of Embedded Systems, 2020 Vol.12 No.2, pp.177 - 185

Received: 17 Dec 2017
Accepted: 22 Apr 2018
Published online: 19 Mar 2020 *

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