Title: An efficient edge swap mechanism for enhancement of robustness in scale-free networks in healthcare systems

Authors: Syed Minhal Abbas; Nadeem Javaid; Nabil Alrajeh; Safdar Hussain Bouk

Addresses: Department of Computer Science, COMSATS University Islamabad, Islamabad Campus, 44000, Pakistan ' Department of Computer Science, COMSATS University Islamabad, Islamabad Campus, 44000, Pakistan; International Graduate School of Artificial Intelligence, National Yunlin University of Science and Technology, Yunlin, 64002, Taiwan ' Department of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh, 11633, Saudi Arabia ' Old Dominion University, 5115 Hampton Blvd., Norfolk, VA, 23529, USA

Abstract: This paper presents a sequential edge swap (SQES) mechanism to design a robust network for a healthcare system utilising energy and communication range of nodes. Two operations: sequential degree difference operation (SQDDO) and sequential angle sum operation (SQASO) are performed to enhance the robustness of network. With equivalent degrees of nodes from the network's centre to its periphery, these operations build a robust network structure. Disaster attacks that have a substantial impact on the network are carried out using the network information. To identify a link between the malicious and disaster attacks, the Pearson coefficient is employed. SQES creates a robust network structure as a single objective optimisation solution by changing the connections of nodes based on the positive correlation of these attacks. SQES beats the current methods, according to simulation results. When compared to hill-climbing algorithm, simulated annealing, and ROSE, respectively, the robustness of SQES is improved by roughly 26%, 19% and 12%.

Keywords: edge swap; healthcare systems; HCS; malicious attacks; robustness; scale-free networks; wireless sensor networks; WSNs.

DOI: 10.1504/IJWGS.2024.139794

International Journal of Web and Grid Services, 2024 Vol.20 No.3, pp.360 - 383

Received: 19 May 2023
Accepted: 16 Feb 2024
Published online: 05 Jul 2024 *

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