PMLC- Predictions of Mobility and Transmission in a Lane-Based Cluster VANET Validated on Machine Learning

Abstract

VANET refers to a massive network system, to communicate with each vehicle or infrastructure a precision protocol, an advanced view and routing system is required. This means of communication should be appropriate for all kind of vehicles. In this proposed PMLC protocol, which was built on cluster routing in a lane-based road environment. The network requires optimal solutions to form the cluster and choose its leader. All road environment characteristics are chosen, and multilayer estimations are generated to obtain specific deviations and variations, which are calculated based on data transfer and vehicle movement, and exact values are found using the machine learning system. The neural network processes the inputs, selects the required leader, and sends the data to the destination. At the end of this explanation, the execution of this protocol is depicted graphically.

Dissection of Mobility Model Routing Protocols in MANET on QoS Criterion

“…Through a route request published to its neighbors, the source host identifies the cluster leader. The gateway nodes then forward the request to their neighboring cluster heads, and so on, until the request reaches the cluster head of the destination host and is unicast there [40]. The only information remembered by the route request is which cluster heads it has already traversed.…”