Service Scheduling of Vehicle-Roadside Data Access

  • Authors:
  • Yang Zhang;Jing Zhao;Guohong Cao

  • Affiliations:
  • Department of Computer Science and Engineering, The Pennsylvania State University, University Park, USA;Department of Computer Science and Engineering, The Pennsylvania State University, University Park, USA;Department of Computer Science and Engineering, The Pennsylvania State University, University Park, USA

  • Venue:
  • Mobile Networks and Applications
  • Year:
  • 2010

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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.