Research On Instantly Decodable Network Coding Data Transmission Mode Based On Internet Of Vehicles

With the rapid development of in-vehicle network,the transmission data has developed from a single control data to a variety of data modes,which has put forward urgent innovation requirements for the existing vehicle networking system solutions.instantly decodable network coding(IDNC)is an opportunistic network coding technology.Its principle is to perform XOR encoding on data packets according to the received state information,which can effectively reduce the decoding delay of data packets.It is in line with the usage scenarios of the Internet of Vehicles.In addition,clustering the nodes in the Internet of Vehicles can not only effectively reduce the complexity of the system,but also increase the transmission efficiency of network data packets.Most of the current research on the Internet of Vehicles technology only considers the physical layer communication model,and does not consider the use of network coding technology to solve the problem of transmission delay.This paper proposes a data transmission model based on network coding and clustering on the basis of previous research.to reduce the network data transmission delay,the main work is as follows:(1)A data transmission method for partially connected Io V based on clustering and IDNC is proposed.Firstly,the vehicle data packets are classified.Considering that there are two types of vehicle network communication data packets: entertainment information and safety information,in order to ensure the timeliness and reliability of safety data transmission,This paper proposes a strategy based on packet type weighting,safety information,including basic vehicle operation and some data related to road traffic safety,has a higher priority than entertainment information.We give security data packets a higher weight,which can ensure that the cluster head node has more security data packets during clustering,and reduce the transmission delay of security data packets.At the same time,clustering can effectively reduce the network model in the case of multi-vehicle nodes.The complexity ensures that the vehicle can also be used in scenarios without base stations.The simulation results show that compared with the fully connected network,the method proposed in this paper can effectively reduce the decoding delay,and the performance gain of the transmission delay for secure data packets is more obvious.(2)A dual-interface network-based IDNC network coding model for the Internet of Vehicles is proposed.The member nodes in the cluster can receive the encoded data packets from the base station and the cluster head at the same time,and the problem of the minimum decoding delay is expressed as the selection of the sending device,the selection of the base station to send the data packet and the selection of the cluster head node to send the data packet.In addition,this paper Considering the usage scenarios where the transmission order of data packets is limited,the concept of delivery delay is proposed and a mathematical formula is given.In response to the above problems,a multi-layer IDNC diagram based on dual interfaces is proposed,and the selection of the optimal coding strategy is equivalent to finding The largest weight clique in the graph.According to the simulation results,the dual-interface IDNC network model is better than previous research models,with lower decoding delay and delivery delay.