Multi-objective optimization of spectrum detection in cognitive IoT using artificial physics. (3rd April 2019)

• Record Type: Journal Article
• Authors: Li, Yalun; Wang, Honghai; Chai, Zhengyi
• Is Part Of: Journal of the Chinese Institute of Engineers. Volume 42:Number 3(2019)
• Page Start: 219
• Page End: 224
• Publication Date: 2019-04-03
• Subjects: Artificial physics optimization -- multi-objective -- cognitive radio network -- internet of things -- spectrum detection; Technology -- Periodicals; Engineering -- Periodicals; 620.005
• DOI: 10.1080/02533839.2018.1562992
• Languages: English
• ISSNs: 0253-3839

Abstract

ABSTRACT: In cognitive Internet of Things (C-IoT), spectrum detection aims to find the available spectrum resources for cognitive sensor nodes. However, it always consumes more energy to get higher detection rate in spectrum detection, so energy consumption and detection rate are positively correlated in C-IoT. Different from the available algorithms, we model spectrum detection in C-IoT as a multi-objective optimization problem and aim to find the trade-off points of spectrum detection. An artificial physics optimization algorithm is proposed to solve spectrum detection problems in C-IoT. The simulation results show that the proposed algorithm can effectively reduce the energy consumption and keep a high detection rate.