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Despite the surge in a vehicular ad-hoc network (VANET) and volunteer computing research, future high-end vehicles are expected to under-utilize the onboard computation, storage and communication resources. Therefore, this research envisions the next paradigm shift by merging VANET and volunteer computing, which we call VANET based volunteer computing (or VBVC). To date, the potential design system for VBVC has not been characterized. To fill up this gap, we first set forth the scientific classification of VBVC, which uses the automobiles alongside roadside units (RSU) to give computational administrations to different vehicles on the road. We propose a potential framework for different VBVC scenarios. Moreover, we provide an experimental evaluation of VBVC by comparing it with the traditional model in terms of job completion, latency, and throughput. The proposed VBVC performs better when compared with traditional approaches.

VANET-Based Volunteer Computing (VBVC): A Computational Paradigm for Future Autonomous Vehicles