#7731. A context-oriented framework for computation offloading in vehicular edge computing using WAVE and 5G networks

October 2026publication date
Proposal available till 24-05-2025
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Journal’s subject area:
Automotive Engineering;
Electrical and Electronic Engineering;
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Abstract:
Despite technological advances, vehicles are still unable to meet the demands of some applications for massive computational resources in a feasible time. One way to deal with this situation is to integrate the computation offloading technique into a vehicular edge computing system. This integration allows application tasks to be executed on neighboring vehicles or edge servers coupled to base stations. However, the dynamic nature of vehicular networks, allied to overloaded servers, can lead to failures and reduce the effectiveness of the offloading technique. Therefore, we propose a context-oriented framework for computation offloading to reduce the application execution time and maintain high reliability in vehicular edge computing.
Keywords:
5G; Computation offloading; Task assignment; Task offloading; Vehicular edge computing; WAVE

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