Research On Geographical Routing Method And Channel Allocation Strategy For Vehicle Network

The Internet of Vehicles provides delay-sensitive services,but high-latency communication with roadside units cause service failures and high costs.Mobile edge computing migrates the cloud computing platform from the core network to the edge of the mobile network,and vehicles can access large amounts of computing resources locally.In order to meet the communication requirements in the Vehicle Ad Hoc Network,the classic GPSR(Greedy Perimeter Stateless Routing)method has been widely used.In order to solve the problems of GPSR’s neighbor node position acquisition lag and single routing criterion,a new routing method based on fuzzy logic system(Geographic Routing method based on Velocity,Angle and Density,GRVAD)is proposed.This method takes the relative speed between nodes,the angle between the current node and the neighbor node and the destination node,and the node density of the neighbor node as the input of fuzzy logic,and the unscented Kalman filter is used to predict the location of the neighbor node to obtain more accurate location information of neighbor nodes.The simulation results show that the routing method makes up for some shortcomings of the GPSR method,reasonably takes into account the data packet delivery rate and end-to-end delay,and is more in line with the communication requirements of the Vehicle Ad Hoc Network.The communication between vehicles and other devices is collectively referred to as vehicle-to-everything(V2X),and is mainly divided into two types:vehicle-to-infrastructure(V2I)and vehicle-to-vehicle(V2V).This paper considers vehicular networks based on 5G cellular network with a Device-to-Device(D2D)technology support.The main challenges here are to guarantee all V2V links reliability while maximizing both of ergodic capacity for those V2I ones and the overall network utilization.Furthermore,each channel should be shared between a V2I link and multiple V2V links.The paper proposes a sequence of procedures to solve the mentioned problem.First,an effiffifficient power optimization mechanism is modeled to guarantee all V2V links reliability.Then,an analytical model is proposed to maximize V2Is ergodic capacity.Lastly,the paper investigates various resources assignment algorithms for V2I and V2V links,where demanding V2V links could share multiple V2I channels to enhance the network utilization.The proposed algorithms analysis results are presented and compared with others showing the performance metrics enhancement including V2I capacity,network bandwidth effiffifficiency,number of dropped V2V links,and run time for assigning channels.