TY - JOUR
T1 - Service scheduling of vehicle-roadside data access
AU - Zhang, Yang
AU - Zhao, Jing
AU - Cao, Guohong
N1 - Funding Information:
Acknowledgement This work was supported in part by the US National Science Foundation under grant CNS-0721479.
PY - 2010/2
Y1 - 2010/2
N2 - 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 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.
AB - 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 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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U2 - 10.1007/s11036-009-0170-9
DO - 10.1007/s11036-009-0170-9
M3 - Article
AN - SCOPUS:76549097373
SN - 1383-469X
VL - 15
SP - 83
EP - 96
JO - Mobile Networks and Applications
JF - Mobile Networks and Applications
IS - 1
ER -