Routing With Traffic Awareness and Link Preference in Internet of Vehicles

被引:30
作者
Chen, Chen [1 ]
Liu, Lei [1 ]
Qiu, Tie [2 ]
Jiang, Jiange [1 ]
Pei, Qingqi [1 ]
Song, Houbing [3 ]
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[2] Tianjin Univ, Sch Comp Sci & Technol, Tianjin 300350, Peoples R China
[3] Embry Riddle Aeronaut Univ, Dept Elect Engn & Comp Sci, Daytona Beach, FL 32114 USA
基金
中国国家自然科学基金;
关键词
Routing; Routing protocols; Roads; Delays; Trajectory; Internet of Vehicles; geographic routing protocol; routing metric; link transmission quality; PROTOCOL; SCHEME; ARCHITECTURE; MODEL; VANET; ART;
D O I
10.1109/TITS.2020.3009455
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Considering the high mobility and uneven distribution of vehicles, an efficient routing protocol should avoid that the sent packets are forwarded within road segments with ultra-low density or serious data congestion in vehicular networks. To this end, in this paper, we propose a Traffic aware and Link Quality sensitive Routing Protocol (TLRP) for urban Internet of Vehicles (IoV). First, we design a novel routing metric, i.e., Link Transmission Quality (LTQ), to account for the impact of the number, quality and relative positions of communication links along a routing path on the network performance. Then, to adapt to the dynamic characteristics of IoV, a road weight evaluation scheme is presented to assess each road segment using the real-time traffic and link information quantified by the LTQ. Next, the path with the lowest aggregated weight is selected as the routing candidate. Extensive simulations demonstrate that our proposed protocol achieves significant performance improvements compared to the state-of-the-art protocol MM-GPSR, the typical junction-based scheme E-GyTAR, and the classic connectivity-based routing iCAR, in terms of packet delivery ratio and average transmission delay.
引用
收藏
页码:200 / 214
页数:15
相关论文
共 45 条
[1]   iCAR-II: Infrastructure-Based Connectivity Aware Routing in Vehicular Networks [J].
Alsharif, Nizar ;
Shen, Xuemin .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (05) :4231-4244
[2]  
Alsharif N, 2013, IEEE ICC, P1736, DOI 10.1109/ICC.2013.6654769
[3]  
[Anonymous], 2018, IEEE INTERNET THINGS, DOI DOI 10.1109/JIOT.2017.2764259
[4]  
[Anonymous], 2010, 80211 IEEE, V802
[5]  
Bilal S, 2011, INT ARAB J INF TECHN, V8, P422
[6]   Caching in Vehicular Named Data Networking: Architecture, Schemes and Future Directions [J].
Chen, Chen ;
Wang, Cong ;
Qiu, Tie ;
Atiquzzaman, Mohammed ;
Wu, Dapeng Oliver .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2020, 22 (04) :2378-2407
[7]   Smart-Contract-Based Economical Platooning in Blockchain-Enabled Urban Internet of Vehicles [J].
Chen, Chen ;
Xiao, Tingting ;
Qiu, Tie ;
Lv, Ning ;
Pei, Qingqi .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (06) :4122-4133
[8]   A short-term traffic prediction model in the vehicular cyber-physical systems [J].
Chen, Chen ;
Liu, Xiaomin ;
Qiu, Tie ;
Sangaiah, Arun Kumar .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 105 :894-903
[9]   Delay-Aware Grid-Based Geographic Routing in Urban VANETs: A Backbone Approach [J].
Chen, Chen ;
Liu, Lei ;
Qiu, Tie ;
Wu, Dapeng Oliver ;
Ren, Zhiyuan .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2019, 27 (06) :2324-2337
[10]   ASGR: An Artificial Spider-Web-Based Geographic Routing in Heterogeneous Vehicular Networks [J].
Chen, Chen ;
Liu, Lei ;
Qiu, Tie ;
Yang, Kun ;
Gong, Fengkui ;
Song, Houbing .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (05) :1604-1620