Connectivity probability analysis for freeway vehicle scenarios in vehicular networks

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.

[1]  Suneel Yadav,et al.  Physical Layer Security in Cooperative AF Relaying Networks With Direct Links Over Mixed Rayleigh and Double-Rayleigh Fading Channels , 2018, IEEE Transactions on Vehicular Technology.

[2]  Suneel Yadav,et al.  Physical layer security in cooperative amplify-and-forward relay networks over mixed Nakagami-m and double Nakagami-m fading channels: performance evaluation and optimisation , 2020, IET Commun..

[3]  Yu Zhang,et al.  Multi-Hop Connectivity Probability in Infrastructure-Based Vehicular Networks , 2012, IEEE Journal on Selected Areas in Communications.

[4]  Weihua Zhuang,et al.  Probabilistic Delay Control and Road Side Unit Placement for Vehicular Ad Hoc Networks with Disrupted Connectivity , 2011, IEEE Journal on Selected Areas in Communications.

[5]  Chadi Assi,et al.  Multihop V2I Communications: A Feasibility Study, Modeling, and Performance Analysis , 2017, IEEE Transactions on Vehicular Technology.

[6]  Albert Y. Zomaya,et al.  Throughput of Infrastructure-Based Cooperative Vehicular Networks , 2016, IEEE Transactions on Intelligent Transportation Systems.

[7]  Anchare V. Babu,et al.  Network Connectivity Probability of Linear Vehicular Ad-Hoc Networks on Two-Way Street , 2012 .

[8]  Marco Fiore,et al.  Characterizing the Instantaneous Connectivity of Large-Scale Urban Vehicular Networks , 2017, IEEE Transactions on Mobile Computing.

[9]  Mujahid Muhammad,et al.  Survey on existing authentication issues for cellular-assisted V2X communication , 2018, Veh. Commun..

[10]  Jong-Moon Chung,et al.  Time Coordinated V2I Communications and Handover for WAVE Networks , 2011, IEEE Journal on Selected Areas in Communications.

[11]  Will Recker,et al.  An analytical model of multihop connectivity of inter-vehicle communication systems , 2010, IEEE Transactions on Wireless Communications.

[12]  Xuemin Shen,et al.  $i$CAR-II: Infrastructure-Based Connectivity Aware Routing in Vehicular Networks , 2017, IEEE Transactions on Vehicular Technology.

[13]  Wenye Wang,et al.  Message coverage maximization in infrastructure-based urban vehicular networks , 2019, Veh. Commun..

[14]  Pingzhi Fan,et al.  On the Connectivity of Vehicular Ad Hoc Network Under Various Mobility Scenarios , 2017, IEEE Access.

[15]  Jun Li,et al.  A Novel Mobility-aware Gradient Forwarding Algorithm for Unmanned Aerial Vehicle Ad Hoc Networks , 2020, J. Inf. Sci. Eng..

[16]  Weiwei Xia,et al.  Modelling and performance analysis of dynamic contention window scheme for periodic broadcast in vehicular ad hoc networks , 2015, IET Commun..

[17]  Angela Doufexi,et al.  V2V for Vehicular Safety Applications , 2020, IEEE Transactions on Intelligent Transportation Systems.