Applied Research Of Fuzzy Logic Based Clustering Strategy For Vehicular Ad Hoc Networks

ITS comprehensively integrates advanced RFID application technology,position sensing technology,communication technology,GPS technology and traffic information dissemination technology,so as to build a regional wide,energy-saving,real-time,safe and efficient traffic management system.Under the close cooperation of vehicle and vehicle,vehicle and people,vehicle and roadside infrastructure,while strengthening traffic control and improving traffic efficiency,increase the capacity of road network communication,reduce excessive energy consumption,and ensure people’s safe travel.Vehicle self-organizing network is an important part of ITS,in the vehicle self-organizing network,in order to achieve the integration of the vehicle network,vehicle mobile Internet and inter vehicle network,the cluster routing protocol is adopted,which has an ideal management mode,so it is widely used in the solution of intelligent traffic management system.However,with the popularization of intelligent technology,the clustering technology often relies on roadside units,and lacks the full use of nodes,which leads to the delay of network information and the poor quality of network communication.Therefore,some clustering routing protocols using intelligent technology are focused on and researched by people.Among them,the Ad Hoc On-Demand Distance Vector Routing and the Destination Sequenced Distance Vector Routing are more typical,so they are widely used in the Vehicular Ad Hoc Network.Based on the typical routing protocol,this paper mainly studies the fuzzy logic intelligent technology and optimizes the clustering protocol.In this paper,the cluster heads are selected dynamically according to the characteristics of fuzzy input factors.Based on the high-density scene environment,the simulation results are compared under different network conditions,so as to achieve better communication effect.The main contents of this paper are as follows:(1)This paper studies the basic principle,performance index and typical routing protocols,focuses on the research of fuzzy logic technology,analyzes its importance in detail,and provides theoretical basis for routing performance comparison.(2)Aiming at the problem of communication quality of vehicle network,the FProposed is proposed.This method can select a good cluster head,reduce the complexity of operation,and improve the success rate of route creation under the condition of ensuring the optimal leadership factor.(3)To solve the problem of vehicle network communication quality,the BProposed is proposed.By cluster head management cluster collection,network communication is more secure and convenient,thus reducing the cost of infrastructure and effectively improving network performance.(4)Based on the real city road,this paper builds the simulation platform with NS2,SUMO,MATLAB and other simulation tools.Under the condition that the simulation scenario is consistent,it is compared with AODV,DSDV and Fuzzy Routing,the simulation results show that proposed methods can significantly improve the throughput and component delivery rate of the Internet of vehicles,effectively improve the network performance,and better support multimedia and security information Distribution of strictly constrained Internet of vehicles applications.