Qualitative analysis of Spectrum Utilization in Vehicular Communication Networks
M. Zahir Ahmed
, Shaik Abdul Muneer , Shaik Obedulla Shariff , D. Vijaya Pushpa Mani
VCNET, Road Safety, Electromagnetic Spectrum, Traffic Efficiency, Cellular, WLAN
Actually the rapid growth of wireless traffic demands in vehicular networks, spectrum scarcity is becoming urgent in the Dedicated Short Range and long range Communication. Vehicular Communication networks (VCNETs) are created by applying the principles of mobile ad hoc networks (MANETs). The spontaneous creation of a wireless network for Vehicle-to-vehicle (V2V) data exchange to the domain of vehicles. Recently, vehicular networks (VCNETs), has become the key technology of the next-generation intelligent transportation systems. Prior to the implementation of VCNETs on the roads, realistic computer simulations of VCNETs using a combination of Urban Mobility simulation and Network simulation are necessary. V2V is under threat from cable television and other tech firms that want to take away a big chunk of the radio spectrum currently reserved for it and use those frequencies for high-speed internet service. With the development of mobile Internet, people want to enjoy the Internet access in vehicles just as anywhere else. The auto industry is trying to retain all it can saying that it desperately needs the spectrum for V2V. The main motivations for V2V are road safety, traffic efficiency, and energy savings. There are two types of V2V communication technology depending on the underlying technology WLAN & cellular based.
"Qualitative analysis of Spectrum Utilization in Vehicular Communication Networks", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 10, page no.88 - 91, October-2018, Available :https://ijsdr.org/papers/IJSDR1810014.pdf
Volume 3
Issue 10,
October-2018
Pages : 88 - 91
Paper Reg. ID: IJSDR_180699
Published Paper Id: IJSDR1810014
Downloads: 000347186
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave