Predicting the longest route lifetime as the most stable route between two vehicles in VANET

Authors

  • Mohamed Nabil Computer, Networks, Mobility and Modeling laboratory FST, Hassan 1st University, Settat, Morocco
  • Abdelmajid Hajami Computer, Networks, Mobility and Modeling laboratory FST, Hassan 1st University, Settat, Morocco

Keywords:

most stable route; link lifetime; route lifetime; IDMLC; highway Scenario; VANET; NS2

Abstract

One of the most critical issues of VANET is the frequent failure of the route caused by the high mobility of vehicles. Short communication route lifetime often breaks down in progress data packet transmission between the source and the destination vehicles, and launches a new route reconstruction that becomes more frequent and depletes a significant amount of network resources. To face these frequent communication disconnections much research has considered the stability of route between source and destination vehicles as an important factor to improve the quality of service in the VANET network. however, this research did not take into account the longest route lifetime as the most stable route and assumes that vehicles move at a constant speed during a direct communication between them. For this reason, we propose two protocols that use vehicles’ movement information to determine the longest route lifetime as the most stable route taking into account the variation of the vehicles’ velocity for comfort applications in a highway environment. One of them uses the beacon message and the other does not use it. Our schemes are evaluated as function of vehicles density by measuring the route duration, the percentage of packets delivery, the control overhead, the throughput and the number of link failures generated during the transmission of data packets. The Intelligent Driver Model with Lane Changing (IDM-LC) based on VanetMobiSim tool is used to generate realistic mobility traces in highway.

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Published

2018-01-01

How to Cite

Mohamed Nabil, & Abdelmajid Hajami. (2018). Predicting the longest route lifetime as the most stable route between two vehicles in VANET. International Journal of Computer Information Systems and Industrial Management Applications, 10, 9. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/375

Issue

Section

Original Articles