TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Hybrid Resource Allocation Scheme in Secure Intelligent Reflecting Surface-Assisted IoT |
| 영문제목(English Title) |
Hybrid Resource Allocation Scheme in Secure Intelligent Reflecting Surface-Assisted IoT |
| 저자(Author) |
Yumeng Su
Hongyuan Gao
Shibo Zhang
|
| 원문수록처(Citation) |
VOL 16 NO. 10 PP. 3256 ~ 3274 (2022. 10) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
With the rapid development of information and communications technology, the construction of efficient, reliable, and safe Internet of Things (IoT) is an inevitable trend in order to meet high-quality demands for the forthcoming 6G communications. In this paper, we study a secure intelligent reflecting surface (IRS)-assisted IoT system where malicious eavesdropper trying to sniff out the desired information from the transmission links between the IRS and legitimate IoT devices. We discuss the system overall performance and propose a hybrid resource allocation scheme for maximizing the secrecy capacity and secrecy energy efficiency. In order to achieve the trade-off between transmission reliability, communication security, and energy efficiency, we develop a quantum-inspired marine predator algorithm (QMPA) for realizing rational configuration of system resources and prevent from eavesdropping. Simulation results demonstrate the superiority of the QMPA over other strategies. It is also indicated that proper IRS deployment and power allocation are beneficial for the enhancement of system overall capacity. |
| 키워드(Keyword) |
Internet of Things
secure communications
intelligent reflecting surface
hybrid resource allocation
QMPA
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| 파일첨부 |
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