Optimisation of sensing time and transmission time in cognitive radio-based smart grid networks. Issue 7 (2nd July 2016)

• Record Type: Journal Article
• Authors: Yang, Chao; Fu, Yuli; Yang, Junjie
• Is Part Of: International journal of electronics. Volume 103:Issue 7(2016)
• Page Start: 1098
• Page End: 1111
• Publication Date: 2016-07-02
• Subjects: Smart grid -- cognitive radio -- spectrum sensing -- traffic data collection -- optimisation; Electronics -- Periodicals; Electronic control -- Periodicals; 621.381
• DOI: 10.1080/00207217.2015.1082645
• Languages: English
• ISSNs: 0020-7217

Abstract

ABSTRACT: Cognitive radio (CR)-based smart grid (SG) networks have been widely recognised as emerging communication paradigms in power grids. However, a sufficient spectrum resource and reliability are two major challenges for real-time applications in CR-based SG networks. In this article, we study the traffic data collection problem. Based on the two-stage power pricing model, the power price is associated with the efficient received traffic data in a metre data management system (MDMS). In order to minimise the system power price, a wideband hybrid access strategy is proposed and analysed, to share the spectrum between the SG nodes and CR networks. The sensing time and transmission time are jointly optimised, while both the interference to primary users and the spectrum opportunity loss of secondary users are considered. Two algorithms are proposed to solve the joint optimisation problem. Simulation results show that the proposed joint optimisation algorithms outperform the fixed parameters (sensing time and transmission time) algorithms, and the power cost is reduced efficiently.