Title: Energy harvesting-based trust-aware medical data transmission model with multi-objective function in cognitive radio network

Authors: Bancha Naresh Kumar; Jai Sukh Paul Singh

Addresses: School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India; Department of ECE, B.V. Raju Institute of Technology, Narsapur, Medak, Telangana, India ' School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India

Abstract: The security-aware data transmission model in CRN with energy harvesting is developed especially for supporting Medical Data Transmission (MDT). A novel Self-Adaptive Ladybug Beetle Optimisation Algorithm (SA-LBOA) is developed to identify the optimal routing path between the nodes of source and destination with the optimal energy harvesting model, which helps to expand the lifetime of the network. In the medical domain, the optimal path is selected to provide reliable, energy-efficient data transmission. Here, the optimal path meets the multi-objective function having the constraints like security in terms of 'trust computation, hop count, throughput, energy harvesting and outage probability'. Throughout the energy harvesting analysis, the developed model shows 2.44%, 4.7%, 2.40% and 3.4% higher performance than DHOA, SSO, HLBO and LBOA. Simulation made on the proposed CRN routing algorithm provides enhanced network efficiency and assures more security in comparison with other conventional protocols.

Keywords: cognitive radio network; MDT; energy harvesting; self-adaptive ladybug beetle optimisation algorithm; multi-objective function; trust computation.

DOI: 10.1504/IJWMC.2025.143026

International Journal of Wireless and Mobile Computing, 2025 Vol.28 No.1, pp.103 - 122

Received: 23 May 2023
Accepted: 20 Nov 2023
Published online: 02 Dec 2024 *

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