Intelligent Transportation System Performance Enhancement Using Wireless Sensor Network

Abstract

This thesis mainly focuses on the challenges face in the VANET scenario. The majority of studies on VANETs have been conducted in sparse environments, like highways and other open spaces. Because of the greater number of vehicles on the road, the traffic pattern in urban areas is different from that in rural areas. Communication lines are more likely to become severed in densely populated areas. The thesis designed a high efficiency HGC clustering algorithm. To ensure the most stable dynamic networks possible, the cluster head is chosen using a combination of four metrics. To account for the flexibility of VANET and the frequent emergence and disappearance of communication nodes, a directed hypergraph formulation of VANET. Through spectral clustering hypergraph can be used to divide up the area vehicles into groups of similar sizes. Then, these are used to set up devices on the shoulder of the road, which offer an essential supplementary service that improves the network as a whole. newline