Title: A new energy-aware resources scheduling method for mobile internet of things using a hybrid optimisation algorithm

Authors: Jiuhong Yu; Kang Hou; Haiyang Zhang; Branislav Kostic; Ming Yang; Habibeh Nazif

Addresses: Research Institute of Data Intelligence, Ningbo University of Finance and Economics, Ningbo 315175, China ' School of Mathematical Sciences, Soochow University, Suzhou, Jiangsu, 215031, China; Kunshan Industrial Technology Research Institute Co., Ltd., Suzhou, Jiangsu, 215316, China; Institute of Semiconductors Chinese Academy of Sciences, No. A35, QingHua East Road, Haidian District, Beijing, 100083, China ' Research Institute of Data Intelligence, Ningbo University of Finance and Economics, No. 899 Xueyuan Road, Haishu District, Ningbo City, 315175, Zhejiang Province, China ' Jiaying Digital Media Serbia Joint Research Center, Cara Dusana, 97, RS, Belgrad, 11070, Serbia ' Research Institute of Data Intelligence, Ningbo University of Finance and Economics, Ningbo 315175, China ' Department of Mathematics, Payame Noor University, Tehran, Iran

Abstract: This paper suggests a hybrid optimisation technique for scheduling mobile internet of things (IoT) resources that integrates the grasshopper optimisation algorithm with the crow search algorithm to address these issues. The GOCSA hybrid algorithm is designed to effectively increase the benefits of the two methods and produce a standard execution. MATLAB is used to explore the simulation. Other algorithms are contrasted with the suggested approach. The model simulation shows that the suggested technique applying the proposed method on MIoT greatly improves energy consumption and decreases delay time in comparison to conventional methods.

Keywords: resource scheduling; mobile; internet of things; IoT; energy; optimisation; algorithm; mobile IoT; MIoT.

DOI: 10.1504/IJMC.2025.144192

International Journal of Mobile Communications, 2025 Vol.25 No.2, pp.176 - 207

Received: 26 Nov 2022
Accepted: 07 Oct 2023
Published online: 31 Jan 2025 *

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