Mobility Based Dynamic TXOP for Vehicular Communication

被引:0
|
作者
El Ajaltouni, Hikmat [1 ]
Boukerche, Azzedine [1 ]
Pazzi, Richard W. [2 ]
机构
[1] Univ Ottawa, SITE, PARADISE Res Lab, Ottawa, ON K1N 6N5, Canada
[2] Kuwait Univ, Fac Business & Informat Technol, Safat 13060, Kuwait
关键词
SCHEME;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the mobile nature of nodes comprising the vehicular networks in addition to interference and congested network traffic, the design of an efficient MAC network becomes challenging. Moreover, the latency constraints underlying safety application add complexity to this design. The TXOP (Transmit Opportunity) mechanism defined in the IEEE 802.11e is optimized to meet the requirements of a Multimedia Network (voice and audio) but not a vehicular network thus making it unsuitable to be used in a VANet environment. On the other hand, existing MAC algorithms for VANets are designed to overcome some challenges overlooking others. Hence, the merit of this paper lies in developing a MAC mechanism that incorporates in an integrated manner various VANet's challenges while modifying the 802.11e TXOP to meet vehicular conditions. In this work, we propose MoByToP (Mobility Based Dynamic TXOP for VANets). MoByToP is an enhancement mechanism added to the MAC layer to extend the operation of the medium reservation phase. The uniqueness of MoByToP lies in designing a dynamic TXOP to incorporate mobility and QoS (Quality of Service) while considering the transmit data rate of the source vehicle. The proposed protocol was implemented in OMNET++4.1 and extensive experiments demonstrated that the proposed MAC with MoByToP mechanism ensures the reception of QoS messages much faster, more efficient and reliable than existing VANet MAC protocols.
引用
收藏
页码:376 / 383
页数:8
相关论文
共 50 条
  • [31] Vehicular Visible Light Communication with Dynamic Vision Sensor: A Preliminary Study
    Shen, Wen-Hsuan
    Chen, Po-Wen
    Tsai, Hsin-Mu
    2018 IEEE VEHICULAR NETWORKING CONFERENCE (VNC), 2018,
  • [32] Reliable Vehicle Selection Algorithm with Dynamic Mobility of Vehicle in Vehicular Cloud System
    Choo, Sukjin
    Jang, Insun
    Koo, Jungwoo
    Kim, Joonwoo
    Pack, Sangheon
    2017 19TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2017): MANAGING A WORLD OF THINGS, 2017, : 319 - 321
  • [33] Synthesizing realistic vehicular mobility for more precise simulation of inter-vehicle communication
    Nakanishi, Kazuhiro
    Umedu, Takaaki
    Higashino, Terno
    Kitaoka, Hironobu
    Mori, Hiroko
    2007 IEEE GLOBECOM WORKSHOPS, PROCEEDINGS, 2007, : 84 - +
  • [34] Effect of a vehicle's mobility on SNR and SINR in vehicular optical camera communication systems
    Eghbal, Mina
    Tabataba, Foroogh Sadat
    Gholami, Asghar
    Abouei, Jamshid
    Uysal, Murat
    OPTICS EXPRESS, 2024, 32 (07) : 12257 - 12275
  • [35] Machine learning based cluster formation in vehicular communication
    Bhatti, Dost Muhammad Saqib
    Rehman, Yawar
    Rajput, Prem Singh
    Ahmed, Saleem
    Kumar, Pardeep
    Kumar, Dileep
    TELECOMMUNICATION SYSTEMS, 2021, 78 (01) : 39 - 47
  • [36] Dynamic mobility tracking for wireless personal communication networks
    Chang, RF
    Chen, KT
    1997 IEEE 6TH INTERNATIONAL CONFERENCE ON UNIVERSAL PERSONAL COMMUNICATIONS RECORD, CONFERENCE RECORD, VOLS 1 AND 2, 1997, : 448 - 452
  • [37] Resilient SDN-Based Communication in Vehicular Network
    Kalokhe, Kamran Naseem
    Park, Younghee
    Chang, Sang-Yoon
    WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS (WASA 2018), 2018, 10874 : 865 - 873
  • [38] VChain: Efficient Blockchain based Vehicular Communication Protocol
    Kumar, Amritesh
    Yadav, Amrendra Singh
    Kushwaha, Dharmender Singh
    PROCEEDINGS OF THE CONFLUENCE 2020: 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING, 2020, : 762 - 768
  • [39] Robust Beamforming for Cognitive Radio Based Vehicular Communication
    Alam, Md Monzurul
    Bhattarai, Sudeep
    Hong, Liang
    Shetty, Sachin
    2013 INTERNATIONAL CONFERENCE ON CONNECTED VEHICLES AND EXPO (ICCVE), 2013, : 838 - 839
  • [40] Machine learning based cluster formation in vehicular communication
    Dost Muhammad Saqib Bhatti
    Yawar Rehman
    Prem Singh Rajput
    Saleem Ahmed
    Pardeep Kumar
    Dileep Kumar
    Telecommunication Systems, 2021, 78 : 39 - 47