Reliability and Connectivity Analysis of Vehicluar Ad Hoc Networks for a Highway Tunnel

Abstract

Vehicular ad-hoc network (VANET) uses ‘mobile internet’ to facilitate the communication between vehicles and with the goal to ensure road safety and achieve secure communication. Thus the reliability of this type of networks is of paramount significance. The safety-related messages are disseminated in VANETs, on the wireless medium through vehicle to vehicle (V2V) and Vehicle to roadside (V2R) communications. Hence, the Reliability of network is an essential requirement. This paper considers the effect of vehicle transmission range R_tran and vehicle density ρ on the connectivity probability. In addition, a reliability model which takes into account minimal safe headway S_h among nearby vehicles at highway tunnel is specified. The reason is that under the tunnel Global Positioning System (GPS), a component of onboard unit (OBU) needs a rich line of sight for perfect services, because due to signal interference, the GPS does not work properly. Though, in the case of a fully connected network, there are chances of danger between vehicles which are close to each other. Therefore, the network is not safe, as accidents and collision can happen at any time. Hence, maintaining the minimal safe headway distance under the tunnel is interesting and useful for VANET. The obtained results show that the little difference of the minimal safe headway under the tunnel can cause a serious change in the entire network reliability. Suggesting that while designing the network reliability models the safe headway S_h cannot be ignored.

Authors and Affiliations

Saajid Hussain, Di Wu, Wang Xin, Sheeba Memon, Naadiya Khuda Bux, Arshad Saleem

Keywords

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  • EP ID EP550279
  • DOI 10.14569/IJACSA.2019.0100421
  • Views 114
  • Downloads 0

How To Cite

Saajid Hussain, Di Wu, Wang Xin, Sheeba Memon, Naadiya Khuda Bux, Arshad Saleem (2019). Reliability and Connectivity Analysis of Vehicluar Ad Hoc Networks for a Highway Tunnel. International Journal of Advanced Computer Science & Applications, 10(4), 181-186. https://europub.co.uk/articles/-A-550279