Title: Cooperative spectrum sensing based on side information for cognitive radio sensor networks in internet of things applications

Authors: Wenjing Yue; Cong Wu; Zhi Chen

Addresses: Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China; Department of Electrical and Computer Engineering, Concordia University, Montreal, QC H3G 1M8, Canada ' College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China ' College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China

Abstract: In the internet of things (IoT) applications, cooperative spectrum sensing of cognitive radio sensor networks (CRSN) may use electronic objects or sensor nodes to cooperatively detect the spectrum of primary user. How to effectively fuse the local detection data and make a global decision is critical for CRSN. In order to improve the detection accuracy of CRSN, we propose a cooperative spectrum sensing scheme based on side information, and the scheme uses a cooperative spectrum sensing framework and an efficient clustering algorithm that can meet the specific requirements of IoT applications. Though mathematical modelling, minimising the missing detection probability is converted into clustering nodes. The clustering algorithm is to be used to find the optimal distance and localisation of nodes. Simulation results show that the proposed cooperative spectrum sensing scheme has better performance than the conventional cognitive radio models such as equal gain combining, and maximal ratio combining algorithm. In addition, the influence of sensor nodes' density and distance range on the sensing performance is also analysed.

Keywords: cognitive radio sensor networks; CRSN; internet of things; IoT; cooperative spectrum sensing; side information; clustering algorithms; mathematical modelling; sensor nodes; node distance; node localisation; simulation; node density; sensing performance.

DOI: 10.1504/IJIPT.2016.079552

International Journal of Internet Protocol Technology, 2016 Vol.9 No.2/3, pp.121 - 128

Received: 16 Jan 2016
Accepted: 28 Jun 2016

Published online: 29 Sep 2016 *

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