JOURNAL ARTICLE

Spectrum Sensing techniques for Cognitive Vehicular Networks

Abstract

With the growing number of vehicles, millions of people are killed in road accidents every year around the globe.Also, traffic congestion and air pollution has led to poor quality of life.This has brought in the focus to improve road safety and traffic efficiency.Vehicular Adhoc Network also referred to as VANET is a vital application of Intelligent Transportation System (ITS) with enormous societal impact.Cooperative communication among the vehicles can make the driving experience safer and comfortable.But the major challenge for the effective deployment of Vehicular networks is the bandwidth allocated for VANET by Federal Communication Commission (FCC) gets insufficient during high traffic density scenarios which affects the transmission of safety messages.Cognitive Radio technology integrated with Vehicular Networks extends the spectral efficiency with Opportunistic Spectrum Access (OSA) and can improve the communications in emergency situations.Leasing additional spectrum outside of the Dedicated Short-Range Communications (DSRC) band can improve the performance of vehicular networks.This survey paper sheds light on the latest advancements that took place in Cognitive Vehicular Networks as well as current research challenges.

Keywords:
Cognitive radio Spectrum (functional analysis) Computer science Cognition Telecommunications Psychology Neuroscience Wireless Physics

Metrics

3
Cited By
0.64
FWCI (Field Weighted Citation Impact)
13
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications

Related Documents

JOURNAL ARTICLE

Weighted Cooperative Spectrum Sensing for Cognitive Vehicular Networks

Shreyansh ShahDhaval K. PatelBrijesh SoniMiguel López‐BenítezSagar Kavaiya

Journal:   2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) Year: 2021 Pages: 1-5
JOURNAL ARTICLE

Spectrum Sensing for Cognitive Vehicular Networks over Composite Fading

Haroon RasheedNandana Rajatheva

Journal:   International Journal of Vehicular Technology Year: 2011 Vol: 2011 Pages: 1-9
JOURNAL ARTICLE

Spectrum Sensing Techniques for Cognitive Radio Networks

G.A.PethunachiyarB.Sankaragomathi

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2020
© 2026 ScienceGate Book Chapters — All rights reserved.