Bio inspired strategy for improving platoon management in the future autonomous electrical VANET environment

In this paper, the attention is focused on the design of a hybrid platoon system capable of minimising energy consumption in the vehicular environment. In this paper, we focused our attention on the design of a Intelligent Transportation System (ITS) system which offers support to the platooning management to achieve a global optimisation of the groups. In this way, new formations help vehicles to reduce energy consumption exploiting platooning. In this work, we propose a novel algorithm based on Gray Wolf Optimization (GWO) to perform the search of the best platoon. Moreover, in this work we propose a protocol to accomplish platoon tasks. We evaluated the system performances of the platoon formation by considering several constraints such as platoon size, platoon speed, average platoon energy consumption, and so on. For the analysis of the results, we use the Omnet++ framework for protocol issues and Matlab tools for carrying out algorithm performances.