A vehicle-to-vehicle (V2V) network of automobiles that carries out cooperative computing is known as a vehicular cloud (VC). Most of the current research on vehicular cloud computing (VCC) relies on edge or cloud servers rather than virtual clouds (VCs). Nevertheless, without the assistance of edges or cloud servers, automobiles might carry out collaborative programs needing a significant quantity of computing by creating a Vehicular Ad-Hoc Network (VANET). One of the key challenges for VANET cooperative computing is how to deal with the frequent topology changes brought on by moving cars. Cooperative computing's benefits are limited by an unstable network architecture, which occasionally even causes it to cease operating. In this article, a vehicle-to-vehicle (V2V) communication-based cooperative computing approach is proposed. The suggested solution takes the distance into account while choosing which cars to collaborate on and delayed task offloading back as far as feasible for reliable and energy-efficient cooperative computation. The suggested approach performs better in terms of both energy efficiency & network stability than earlier static scheduling techniques.