Kun Tang
Secure Information Transmissions in Wireless-powered Cognitive Radio Networks for Internet of Medical Things
Tang, Kun; Tang, Wenjuan; Luo, Entao; Tan, Zhiyuan; Meng, Weizhi; Qi, Lianyong
Authors
Abstract
In this paper, we consider the issue of the secure transmissions for the cognitive radio-based Internet of Medical Things (IoMT) with wireless energy harvesting. In these systems, a primary transmitter (PT) will transmit its sensitive medical information to a primary receiver (PR) by a multi-antenna-based secondary transmitter (ST), where we consider that a potential eavesdropper may listen the PT's sensitive information. In the meanwhile, the ST also transmits its own information concurrently by utilizing spectrum sharing. We aim to propose a novel scheme for jointly designing the optimal parameters, i.e., energy harvesting (EH) time ratio and secure beamforming vectors, for maximizing the primary secrecy transmission rate while guaranteeing secondary transmission requirement. For solving the non-convex optimization problem, we transfer the problem into convex optimization form by adopting the semi-definite relaxation (SDR) method and Charnes-Cooper transformation technique. Then, the optimal secure beamforming vectors and energy harvesting duration can be obtain easily by utilizing the CVX tools. According to the simulation results of secrecy transmission rate, i.e., secrecy capacity, we can observe that the proposed protocol for the considered system model can effectively promote the primary secrecy transmission rate when compared with traditional zero-forcing (ZF) scheme, while ensuring the transmission rate of the secondary system.
Citation
Tang, K., Tang, W., Luo, E., Tan, Z., Meng, W., & Qi, L. (2020). Secure Information Transmissions in Wireless-powered Cognitive Radio Networks for Internet of Medical Things. Security and Communication Networks, 2020, Article 7542726. https://doi.org/10.1155/2020/7542726
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 20, 2019 |
Online Publication Date | Feb 24, 2020 |
Publication Date | Feb 24, 2020 |
Deposit Date | Dec 27, 2019 |
Publicly Available Date | Jan 6, 2020 |
Print ISSN | 1939-0114 |
Electronic ISSN | 1939-0122 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 2020 |
Article Number | 7542726 |
DOI | https://doi.org/10.1155/2020/7542726 |
Keywords | Internet of Medical Things (IoMT); secure transmissions; secrecy; medical information |
Public URL | http://researchrepository.napier.ac.uk/Output/2428113 |
Files
Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things
(1.4 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Copyright © 2020 Kun Tang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Secure Information Transmissions In Wireless-powered Cognitive Radio Networks For Internet Of Medical Things
(650 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
Published under a Creative Commons Attribution license.
You might also like
A Lightweight Image Steganography Scheme Based on Invertible Neural Network Architecture with Progressive Channel Attention
(2025)
Presentation / Conference Contribution
Multi-Objective Evolutionary Algorithm for Automatic Generation of Adversarial Metamorphic Malware
(2025)
Presentation / Conference Contribution
Multiagent Deep-Reinforcement-Learning-Based Cooperative Perception and Computation in VEC
(2025)
Journal Article
Dynamic Caching Dependency-Aware Task Offloading in Mobile EdgeComputing
(2025)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search