Implementation and Evaluation of the Impact of Traffic Congestion on the Detection of the Missing Packets in VANET

Abstract

Annually thousands of people lose their lives due to traffic accidents. Putting into effect some policies in wealthy countries has significantly reduced traffic accidents together with problems of injury. However, this problem requires special attention in middle-income countries. VANETs, considered among ad hoc networks, in which unfixed vehicles communicate with each other. Two type of different communications have been used in VANETs, Peer-to-Peer (P2P) communications and multi-hop communications. Because of no infrastructure communication between vehicles, Inter-Vehicle Communications or Vehicle-to-Vehicle communications (V2V) are regarded as VANETS. VANETs have different use cases. Its applications are many ranging from cooperative traffic surveillance, route optimization, prevention of collision, forecasting the weather, and information broadcasting such as advertising commodity, goods, and online services. Mentioned applications diversity results in branding these networks as Intelligent Transportation System (ITS). VANETs can create alert systems in a certain distance for awareness of drivers about road and traffic conditions, to help drivers make better decisions and modify their driving habits to reduce these hazards and accidents. In this paper, we implement and evaluate the impact of traffic congestion caused by the number of cars on the detection of the missing packets.