Abstract
An adaptive streaming system for vehicular networks is established at each local server to prefetch and buffer stream data. The adaptive streaming system computes the parts of prefetched stream data for each user and stores them temporarily at the local server, based on current situation of the users and the environments that they are located at. Several techniques such as stream data prefetching, stream data forwarding, and adaptive dynamic decoding, were utilized for strengthening the adaptability of different users and environments and achieving the best transmission efficiency. Fuzzy logic inference systems are utilized to determine if a roadside base station (BS) or a vehicle can be chosen to transfer stream data for users. The bandwidth reservation mechanism for premium user was proposed to ensure the QoS of stream data premium user received. A series of simulations verified the effectiveness and feasibility of the proposed work.
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