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Technical Report: Dynamic Data Delivery Framework to Connected Vehicles via Edge Nodes with Variable Routes
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  • Joseph John Cherukara ,
  • SVSLN Surya Suhas Vaddhiparthy ,
  • Deepak Gangadharan ,
  • BaekGyu Kim
Joseph John Cherukara
International Institute of Information Technology - Hyderabad

Corresponding Author:[email protected]

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SVSLN Surya Suhas Vaddhiparthy
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Deepak Gangadharan
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BaekGyu Kim
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With increasing connectivity and sophisticated software, the modern vehicles are able to leverage different kinds of services provided by the environment. One such service recommended by Automotive Edge Computing Consortium (AECC) is the downloading of high-definition map data by vehicles. This high volume of data can be provided to the vehicles when they are moving by allocating resources on edge server nodes or roadside units if the route is known apriori. However, this is not a realistic assumption to make in general. Therefore, in this work, we propose a two-stage optimization framework for efficient data delivery to connected vehicles via edge nodes while considering dynamic route changes. We have evaluated the efficiency of this proposed approach (considering a real-world dataset) with respect to (a) offline optimization strategies considering fixed routes and (b) two heuristics considering route changes. Our proposed approach works considerably better than the existing approaches in the context of dynamic route changes.