In the sphere of transportation, Vehicular Ad hoc Networks (VANETs), regarded to be a subcategory of wireless sensor networks (WSNs), are used in Intelligent Transportation Systems (ITS). An effective routing protocol that meets the requirements of limiting latency while maintaining minimal overhead is fraught with challenges and limits. Additionally, with VANETs, the identification of hostile vehicles is a crucial work to be completed. To deal with these challenges, the use of Unmanned Aerial Vehicles (UAVs) might be beneficial in overcoming these restrictions. According to this research, the operation of uncrewed aerial vehicles (UAVs) and their interaction with vehicles in VANETs is investigated to the routing method and selection of optimized cluster head (CH). EER-SHO is a proposed, energy-efficient routing utilising Spotted Hyena Optimizer (SHO) in this chapter. EER-SHO’s fitness function incorporates the innovative fitness parameters for cluster head (CH) selection into a single process. (1) residual energy, (2) intra-cluster distance, and (3) distance between sin and nodes are the characteristics to consider. In the future, it is predicted that EER-SHO will be used on accident-prone roadways, with important accident information being relayed to healthcare facilities through the VANET. Compared to various comparable algorithms, the simulation results demonstrate that EER-SHO achieves significantly improved performance in network stability, network longevity, throughput, and energy efficiency compared to the original method.
Artificial Intelligent Algorithm Based on Energy Efficient Routing for ITS
Explainable Artificial Intelligence for Intelligent Transportation Systems ; Kapitel : 3 ; 51-66
2022-08-09
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch