Joint Age of Information and Self Risk Assessment for Safer 802.11p based V2V Networks

被引:16
作者
Choudhury, Biplav [1 ]
Shah, Vijay K. [1 ]
Dayal, Avik [1 ]
Reed, Jeffrey H. [1 ]
机构
[1] Virginia Tech, Bradley Dept Elect & Comp Engn, Wireless Virginia Tech, Blacksburg, VA 24061 USA
来源
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2021) | 2021年
关键词
V2V networks; 802.11p; DSRC; Tracking Error; Collision Risk; Information Freshness; Age of Information; COMMUNICATION;
D O I
10.1109/INFOCOM42981.2021.9488864
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Emerging 802.11p vehicle-to-vehicle (V2V) networks rely on periodic Basic Safety Messages (BSMs) to disseminate time-sensitive safety-critical information, such as vehicle position, speed, and heading - that enables several safety applications and has the potential to improve on-road safety. Due to mobility, lack of global-knowledge and limited communication resources, designing an optimal BSM broadcast rate-control protocol is challenging. Recently, minimizing Age of Information (AoI) has gained momentum in designing BSM broadcast rate-control protocols. In this paper, we show that minimizing AoI solely does not always improve the safety of V2V networks. Specifically, we propose a novel metric, termed Trackability-aware Age of Information TAoI, that in addition to AoI, takes into account the self risk assessment of vehicles, quantified in terms of self tracking error (self-TE) - which provides an indication of collision risk posed by the vehicle. Self-TE is defined as the difference between the actual location of a certain vehicle and its self-estimated location. Our extensive experiments, based on realistic SUMO traffic traces on top of ns-3 simulator, demonstrate that TAoI based rate-protocol significantly outperforms baseline AoI based rate protocol and default 10 Hz broadcast rate in terms of safety performance, i.e., collision risk, in all considered V2V settings.
引用
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页数:10
相关论文
共 32 条
  • [1] Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach
    Abdel-Aziz, Mohamed K.
    Samarakoon, Sumudu
    Bennis, Mehdi
    Saad, Walid
    [J]. IEEE COMMUNICATIONS LETTERS, 2020, 24 (02) : 367 - 370
  • [2] AbdelAziz M. K., 2018, P IEEE GLOB COMM C
  • [3] V2V System Congestion Control Validation and Performance
    Ahmad, Syed Amaar
    Hajisami, Abolfazl
    Krishnan, Hariharan
    Ahmed-Zaid, Farid
    Moradi-Pari, Ehsan
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (03) : 2102 - 2110
  • [4] [Anonymous], 2016, SOC AUT ENG SAE INT
  • [5] [Anonymous], 2014, ETSIEN3026372V1 3 2
  • [6] Aznar-Poveda J., IEEE ACCESS, V7, P192
  • [7] Baiocchi A, 2017, 2017 PROCEEDINGS OF THE 29TH INTERNATIONAL TELETRAFFIC CONGRESS (ITC 29), VOL 1, P108, DOI [10.23919/ITC.2017.8064345, 10.1109/ITC.2017.53]
  • [8] Baldesi L., 2019, P 1 ACM MOB WORKSH T, P7
  • [9] Bohm<spacing A., 2011, INT J VEHICULAR TECH, V2011
  • [10] Chih-Lin Hu, 2019, 2019 8th International Conference on Innovation, Communication and Engineering (ICICE). Proceedings, P110, DOI 10.1109/ICICE49024.2019.9117368