2018Procedia Computer ScienceOpen access

Efficient dissemination based on passive approach and dynamic clustering for VANET

Abdelali Touil, Fattehallah Ghadi

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Abstract

The evolution of the Intelligent Transport System (ITS) has imposed a major impact on road safety by providing a wide variety of applications to decrease the number of accidents and traffic management. As an emerging component of ITS, Vehicular Ad-hoc Network (VANET) is considered as a promising technology for increasing road safety. Basically, VANET provides two types of communications: Vehicle-to-Vehicle (V2V) and Vehicle-Infrastructure (V2I) communications. To make the vehicles act in a cooperative way to enhance road traffic safety, we should adopt the V2V communication, also known as Inter-vehicle communication (IVC). The biggest challenge is how to address the overhead and stability issues that are caused by the important number of messages generated by vehicles at critical areas, such as intersections. In this paper, we focus on the implementation of distributed system based on a passive data dissemination approach. This consist on each vehicle sending periodical measures about the position, speed to other vehicles belonging to the same signal range and to the same cluster. Which implied an earlier division of the network into virtual sub-groups to ease management and data dissemination of messages. Afterward, we simulate the solution using micro-simulation taking in consideration the behavior of each vehicle.

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The evolution of the Intelligent Transport System (ITS) has imposed a major impact on road safety by providing a wide variety of applications to decrease the number of accidents and traffic management. As an emerging component of ITS, Vehicular Ad-hoc Network (VANET) is considered as a promising technology for increasing road safety. Basically, VANET provides two types of communications: Vehicle-to-Vehicle (V2V) and Vehicle-Infrastructure (V2I) communications. To make the vehicles act in a cooperative way to enhance road traffic safety, we should adopt the V2V communication, also known as Inter-vehicle communication (IVC). The biggest challenge is how to address the overhead and stability issues that are caused by the important number of messages generated by vehicles at critical areas, such as intersections. In this paper, we focus on the implementation of distributed system based on a passive data dissemination approach. This consist on each vehicle sending periodical measures about the position, speed to other vehicles belonging to the same signal range and to the same cluster. Which implied an earlier division of the network into virtual sub-groups to ease management and data dissemination of messages. Afterward, we simulate the solution using micro-simulation taking in consideration the behavior of each vehicle.

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Available abstract

The evolution of the Intelligent Transport System (ITS) has imposed a major impact on road safety by providing a wide variety of applications to decrease the number of accidents and traffic management. As an emerging component of ITS, Vehicular Ad-hoc Network (VANET) is considered as a promising technology for increasing road safety. Basically, VANET provides two types of communications: Vehicle-to-Vehicle (V2V) and Vehicle-Infrastructure (V2I) communications. To make the vehicles act in a cooperative way to enhance road traffic safety, we should adopt the V2V communication, also known as Inter-vehicle communication (IVC). The biggest challenge is how to address the overhead and stability issues that are caused by the important number of messages generated by vehicles at critical areas, such as intersections. In this paper, we focus on the implementation of distributed system based on a passive data dissemination approach. This consist on each vehicle sending periodical measures about the position, speed to other vehicles belonging to the same signal range and to the same cluster. Which implied an earlier division of the network into virtual sub-groups to ease management and data dissemination of messages. Afterward, we simulate the solution using micro-simulation taking in consideration the behavior of each vehicle.

Key concepts: Computer science, Vehicular ad hoc network, Overhead (engineering), Intelligent transportation system, Variety (cybernetics), Vehicular communication systems, Cluster analysis, Wireless ad hoc network

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