Vehicular Cloud Forming and Task Scheduling for Energy-Efficient Cooperative Computing

Abstract

A vehicular cloud (VC) is a network of vehicles that perform cooperative computing through vehicle-to-vehicle (V2V) communication. Existing research on vehicular cloud computing (VCC) is mostly based on cloud servers or edge servers, not VCs. However, vehicles, by constructing a Vehicular Ad-Hoc Network (VANET), can perform applications requiring the large amount of computation cooperatively on their own without the help of edges or cloud servers. One of important issues for the VANET cooperative computing is how to handle the frequent topology change due to vehicle mobility. The unstable network topology limits the advantage of cooperative computing and even makes its operation stop sometimes. This paper proposes a cooperative computing method based on vehicle-to-vehicle (V2V) communication. For stable and energy-efficient cooperative computing, the proposed method considers the distance when selecting vehicles that it will cooperate with and delays task offloading back as far as possible. The proposed method outperforms previous static scheduling methods in terms of energy efficiency and network stability.