Abstract
Vehicle safety communications is an important technology for preventing automobile accidents. The number of neighbor nodes is important in the automobile industry, which is becoming increasingly more customer-oriented. The Opportunistic Network Environment (ONE) simulator is a specialized tool for the simulation of a routing protocol in a delay-tolerant network (DTN). Various movement models, including random waypoint, working day movement, and post-disaster movement, have been studied. DTN is a network suggested for communication between networks with significantly varied delay times. In order to raise the accuracy of simulation results in DTNs, a movement model that considers an actual situation is very important. As for the ONE simulator, a working day movement model shows actual movement patterns of people among various movement models. For types of transportation, a road, a vehicle and a bus are provided, but a real-life situation is not provided for a taxi. A taxi moves to a destination via the shortest route when there is a customer; otherwise, it moves at fast speeds randomly. Such movement can generate various communication situations and packet transmission in a DTN. Therefore, this paper aims to design an advanced taxi movement model.
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