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• W569341451 abstract "Leveraging multiple wireless technologies and radio access networks, vehicles on the move have the potential to get ubiquitous broadband Internet connectivity. Many studies have put lots of efforts on vehicle-to-vehicle networks for relaying strategies, popular content distribution, etc. However, in dominant infrastructure-based vehicular networks, supporting continuous and fast data transfer for today’s prevalent services, e.g. video streaming, for vehicles anytime and anywhere is still a difficult research problem. By looking into such problem, impacts such as intermittent connectivity, dynamic network topology, fluctuating signal coverage, and inefficient transmissions, all result from two root causes in vehicular networkmobility and limited infrastructure resources. This dissertation investigates three core functions of infrastructure-based vehicular networks in the presence of the two causes: 1) network selection; 2) data forwarding; 3) data retrieval. By leveraging a compute cloud’s abundant computing and data storage resources, three cloud-based strategies are proposed to achieve robust connectivity and efficient transmission for vehicular networks. First, network selection is essential to maintain robust connectivity for vehicles on the move. Serving a large number of vehicles, today’s centralized and distributed network selection solutions require sophisticatedly designed utility functions and optimization with complex computing, reducing flexibility and efficiency. A fast, game-based network selection scheme is proposed in this dissertation. Vehicles can select best access networks through a coalition formation game approach by leveraging wider scope network information for decision making. A one-iteration fast convergence algorithm is proposed to achieve the final state of coalition structure in the game. Through extensive simulation, the proposed network selection scheme was shown to balance system throughput and fairness without the need of an explicit fairness metric in the utility function. The algorithm efficiency showed eight-fold enhancement over a conventional coalition formation algorithm. Second, efficient data forwarding strategies are important for transferring data to vehicles." @default.
• W569341451 created "2016-06-24" @default.
• W569341451 creator A5055309934 @default.
• W569341451 date "2015-01-01" @default.
• W569341451 modified "2023-09-24" @default.
• W569341451 title "Cloud-based Strategies for Robust Connectivity and Efficient Transmission in Vehicular Networks" @default.
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