An Efficent Distributed Medium Access Control for V2I VANET

Provisioning smart intelligent transport for vehicular ad hoc networks (VANETs) depends on dissemination of safety-related messages. The performance of VANET are highly affected due vehicle density, mobility and environmental condition. Recently several research has been under development, the desig...

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Main Authors: S, Neelambike (Author), J, Chandrika (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-03-01.
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001 ijeecs8605_8071
042 |a dc 
100 1 0 |a S, Neelambike  |e author 
100 1 0 |e contributor 
700 1 0 |a J, Chandrika  |e author 
245 0 0 |a An Efficent Distributed Medium Access Control for V2I VANET 
260 |b Institute of Advanced Engineering and Science,   |c 2018-03-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/8605 
520 |a Provisioning smart intelligent transport for vehicular ad hoc networks (VANETs) depends on dissemination of safety-related messages. The performance of VANET are highly affected due vehicle density, mobility and environmental condition. Recently several research has been under development, the design of a rapid, flexible, efficient and reliable medium access control (MAC) which address the precise constraint of smart intelligent transport system in the highly dynamic VANET environment. Extensive survey carried out in this work shows TDMA (Time division medium access) based MAC approach outperform carrier sense medium access/ collision avoidance CSMA\CA based approach. However, TDMA based approach incurs bandwidth wastages. To utilize bandwidth more efficiently cognitive radio (CR) technique is adopted for designing efficient MAC. However, the existing CR model incurs computation overhead and is not evaluated under different environmental condition such as rural, highway and urban (RHU). To overcome research challenges, this work present efficient decentralized distributed MAC (DMAC) that minimize collision and maximize throughput. Experiment are conducted to evaluate the performance of DMAC over state-of-art model in terms of throughput, success transmission and collision achieved. The outcome shows significant performance over state-of-model. 
540 |a Copyright (c) 2017 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a Asst. Professor; Dept. of Information science and Engineering ; 
690 |a Cognitive radio, DSRC, MAC, Multi-channel, VANET. 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 9, No 3: March 2018; 742-751 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v9.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/8605/8071 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/8605/8071  |z Get fulltext