VANET is a special kind of MANET adapted to the communication between vehicles. It has the characteristics of moving at high speed, and is classified into V2I and V2V communication methods. In order to develop VANET-based vehicle wireless communication technology, it is necessary to establish a test environment and synchronize vehicle mobility in various road scenarios. However, when the experimental environment is built, the equipment is expensive, and the road traffic situation is difficult to predict. The purpose of this paper is to implement a simulation of a Vehicluar Ad-Hoc network for urban environment that can be used for testing purposes. Such environment can be used to design better MAC protocols in VANET. In this paper, we propose a scheme for experiments in a similar environment to actual urban traffic, and analyze the performance by dividing it into V2I and V2V nodes according to the RSU coverage.
This paper proposes a performance model of Controller Area Networks (CAN) to measure the effect of bit-error, especially on an identifier field of CAN messages over erroneous channels. CAN were introduced to allow various devices embedded inside cars to communicate in real-time over a shared channel. For resolving collisions in a real-time way, CAN adopt a contention-free protocol, namely a bit-map algorithm where messages are bitwise arbitrated based on their priority, precisely the identifier in CAN's messages when multiple nodes contend for the shared channel. Contamination on the identifier, therefore, can severely degrade the performance of CAN since all senders recognizing errors immediately terminate their transmission and wait for a certain amount of time to resume competition. Furthermore, when the number of errors experienced exceeds the predetermined threshold, CAN stays at the busoff mode where no messages are sent, requiring outside intervention to be back to the normal operational mode. To predict the performance deterioration of CAN over noisy channels, this paper builds a Markov chain model of CAN.
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