Connectivity probability analysis for freeway vehicle scenarios in vehicular networks
- PDF / 979,133 Bytes
- 10 Pages / 595.276 x 790.866 pts Page_size
- 90 Downloads / 226 Views
(0123456789().,-volV)(0123456789(). ,- volV)
Connectivity probability analysis for freeway vehicle scenarios in vehicular networks Hailin Xiao1,2
•
Xiaolan Liu1 • Qiuyu Zhang1 • Anthony Theodore Chronopoulos3,4
Ó Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The connectivity probability analysis of vehicular networks can be employed for providing theoretical guidance for both obtaining an accurate real-time traffic information and reducing hazardous traffic situations. Most previous studies focused on analyzing the connectivity probability of vehicular networks in physical (PHY) layer protocol. However, the effects of packet collision in media access control (MAC) layer on the connectivity probability of vehicular networks have been rarely studied, where MAC and PHY layers actually interact on each other. In this paper, some parameters are dynamically set and analyzed under consideration of the influence of MAC and PHY layers on the connectivity probability of vehicular networks. Numerical results are shown to be consistent with the proposed theoretical analysis. Keywords Connectivity probability Vehicle-to-vehicle communications Vehicle-to-infrastructure communications Vehicular networks
1 Introduction In recent years, vehicular networks plays an important role in preventing traffic accidents, promoting environmental driving, providing accurate real-time traffic information and providing entertainment information for drivers [1, 2]. Meanwhile, vehicle-to-vehicle (V2V) communications and & Hailin Xiao [email protected] Xiaolan Liu [email protected] Qiuyu Zhang [email protected] Anthony Theodore Chronopoulos [email protected] 1
School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China
2
Hubei Engineering Technology Research Center of Education Informationization, Hubei University, Wuhan 430062, China
3
Department of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249, USA
4
Department Computer Engineering and Informatics, University of Patras, 26 500 Rio, Greece
vehicle-to-infrastructure (V2I) communications are regarded as two fundamental types of communications. In particular, they are regarded as the great alternatives for supporting numerous attractive applications related to safety, driving assistance and infotainment. However, V2V communications may become unreliable to the customers due to the highly dynamic characteristics of the vehicular networks, while V2I communications may have limited availability as a result of the high deployment cost. Therefore, both V2V and V2I communications need to be combined together to meet the diverse communication requirements of vehicular networks [3, 4]. The connectivity probability of V2V and V2I communications has been extensively investigated for freeway scenarios, which is a vital metric of measuring the service quality and efficiency in vehicular networks, especially in freeway scenarios that the vehicular networks have highly dynamic
Data Loading...
