An Energy Resource Management for Cluster based IoHV Supported by Fog Computing

Internet of Hybrid Vehicle Networks (IoHV) is a network generated by merging the Internet with a Hybrid Vehicular Ad-Hoc Network (H-VANET). In IoHV, various types of electric and fuel vehicles create tasks. However, executing several tasks by electric vehicles affects their lifetime because they suffer from energy limitation issues which is one of the IoHV challenges. On the other hand, fuel vehicles and fog nodes have unlimited energy and can be used to execute most tasks of electric vehicles quickly. In this paper, we produce a new Energy Resource management Technique for IoHV called ERTH that aims to offload the tasks of electric vehicles to the fuel vehicles and fog nodes. The main goal of ERTH is saving energy and the lifetime of electric vehicles. As a result, the probability of switching off electric vehicles and the number, time, and cost of recharging their batteries will be reduced. Moreover, we propose a new energy-aware clustering method for IoHV to connect electric vehicles, fuel vehicles, and fog nodes. It can help save the energy of electric vehicles and balance the load. The results showed that ERTH is better than PLIFS and RMOIE according to EC. Moreover, NDEV with ERTH is approximately 47.2% and 42.4% with different numbers of fuel vehicles and 26.19% and 14.1% with various mobility speeds less than PLIFS and RMOIE, respectively. Finally, PET with ERTH is 2.1% and 3.09% with various numbers of fuel vehicles and 1.9% and 3.18% with various speeds more than PLIFS and RMOIE, respectively.