Improvement And Research On Security And Stability Of AODV Routing Protocol

With the rapid development of science and technology,the information interaction between vehicles becomes more and more important.The Vehicular Ad Hoc Network(VANET)will also influence people’s daily life as an important member of the Internet of Things.The most essential core component of VANET is the routing protocol.Although many researches at home and abroad have proposed many routing protocol standards,the applicable environment of each routing protocol is different.In order to adapt VANET to a complex and variable urban traffic environment,research and improvement are needed.The Ad hoc On-demand Distance Vector(AODV)protocol is the focus of much research today.However,its stability in a complex network state is poor,and the use of open transmission for wireless signals in VANET leads to poor security of the AODV routing protocol.Therefore,this article chooses to improve the AODV routing protocol accordingly so that it meets the requirements of modern transportation systems.This study will improve the stability and security of the VANET routing protocol.This paper proposes an AODV routing protocol stability and security improvement scheme based on fuzzy neural network using genetic simulated annealing optimization.The main work and achievements are as follows:1.A stable improvement scheme is proposed based on the AODV routing protocol.The improved scheme analyzes the data of mobile nodes in VANET and extracts the parameters that can affect the link stability.The fuzzy neural network of genetic simulated annealing optimization is used to obtain the stability of nodes.The stability of the node is determined using the node stability in routing initiation and routing of the routing protocol,and the stable link is selected for data transmission.The use of genetic simulated annealing in the routing maintenance process optimizes the parameters of the fuzzy neural network so that the routing protocol can work well in different sports environments and ultimately improve the stability of the VANET.2.Based on AODV routing protocol,a security improvement scheme is proposed to reduce the influence of malicious nodes and improve the security of the network.The improved scheme analyzes the security of VANET and analyzes the similarities and differences between the malicious node and the security node in the common attack methods.The improved scheme extracts several main parameters that affect the security of the node.After the normalization process,the fuzzy neural network based on genetic simulated annealing algorithm is used for fuzzy processing to obtain the node trust value of each node.The improved scheme uses the node trust value to perform routing message and data forwarding control in the route initiation phase.In the route maintenance phase,genetic simulated annealing is used to dynamically adjust the parameters used in the fuzzy neural network to make it correspond to the current network situation of the node.It facilitates the use of routing protocols in different network environments.3.Simulate and analyze the improved scheme using network simulation platform NS2,and verify its superiority over the traditional AODV routing protocol in each network performance.The experimental results show that the improved AODV routing protocol in this paper can dynamically adjust for different motion environments,select stable and secure nodes for routing activities,and have good stability and security.