NDLI: Spectrum sensing in cognitive vehicular networks for uniform mobility model

Content Provider	IET Digital Library
Author	Paul, Anal Kunarapu, Priyatham Banerjee, Avik Maity, Santi P.
Abstract	Cooperation among the sensing nodes in cognitive radio (CR) networks improves spectrum sensing (SS) reliability. However, determining the efficient set of secondary users (SUs) to be involved in cooperative SS (CSS) becomes challenging in vehicular networks (VNs) due to the mobility of primary user (PU) and/or SU nodes. This work explores an energy detection-based CSS scheme in CR enabled VNs (CR-VNs) considering the uniform velocity motion of PU and SU nodes. A distance-dependent distribution function is developed first to find the probability of a SU resides in a specific coverage of the PU transmission zone. This distribution function is then used in deriving the expression of the probability of detection and probability of false alarm using majority rule at the fusion centre. The efficacy of the mathematical analysis is studied through a large set of simulation results that highlight the enhanced SS performance in terms of the probability of detection by ∼ 2.11 , and ∼ 6.56 % at uniform velocity over the existing works in CR-VN.
Starting Page	3127
Ending Page	3134
Page Count	8
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 19, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/19
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0128
Journal	IET Communications
Publisher Date	2019-04-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cognitive Radio Cognitive Vehicular Network Cooperation Cooperative Communication CR-VN Distance-dependent Distribution Function Energy Detection-based CSS Scheme Enhanced SS Performance Fusion Centre Mathematical Analysis Mobile Radio System Probability PU Transmission Zone Reliability Secondary User Sensing Node Specific Coverage Spectrum Sensing Reliability Statistics SUs Telecommunication Network Reliability Uniform Mobility Model Uniform Velocity Motion Vehicular Ad Hoc Network VNs
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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