Abstract
As vehicular networks become popular, more and more people want to access data from their vehicles. When many vehicles want to access data through a roadside unit, service scheduling becomes an important issue. In this paper, we identify some challenges in vehicle-roadside data access. As vehicles move pretty fast, the requests should be served quickly. Also, vehicles may upload data to the roadside unit, and hence the download and upload requests compete for the same bandwidth. To address these challenges, we propose several service scheduling schemes. We first propose a basic scheduling scheme called \(\mathcal{D*S}\) to consider both service deadline and data size. We then enhance it by using a single broadcast to serve multiple requests. Finally, we identify the effects of upload requests on data quality, and propose a Two-Step scheduling scheme to provide a balance between serving download and update requests. Simulation results show that the Two-Step scheduling scheme outperforms other scheduling schemes.











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After a vehicle establishes the connectivity with one RSU, it can get the geographic information and radio range of the RSU through beacon messages. With its own driving velocity and position information, the vehicle can estimate its living time, which is its service deadline.
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This work was supported in part by the US National Science Foundation under grant CNS-0721479.
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Zhang, Y., Zhao, J. & Cao, G. Service Scheduling of Vehicle-Roadside Data Access. Mobile Netw Appl 15, 83–96 (2010). https://doi.org/10.1007/s11036-009-0170-9
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DOI: https://doi.org/10.1007/s11036-009-0170-9