| Edge computing provides a solution for the Internet of Things to become more intelligent.The combination of edge computing and Internet of things has always been a hot research topic.Wireless Sensor Networks(WSN)and Internet of Vehicles(Io V),as key data collection technologies supporting the development of the Internet of Things,are becoming more and more widely used.However,the equipment’s limited storage and computing resources restrict its further development.In this paper,the WSN and the IOV under the edge computing environment are respectively analyzed,and the reliable data transmission strategy and return strategy under the edge computing environment are proposed based on the actual scenario.The main work of this paper is as follows:The main work of this paper is as follows:(1)Combining the characteristics of sensor network and the advantages of compressed sensing,a reliable data collection method based on edge computing scene is designed to solve the problems of random packet loss and fast energy consumption in wireless sensor network in the actual environment.Firstly,the data is transmitted from the cluster head to the sink node.In the data acquisition phase,the measurement matrix based on the actual link state is designed and sparse base suitable for the sensor data is constructed.In the data transmission stage,it refers to the stage of data transmission from cluster head to sink node.The Best-Worst Ant System is adopted to evaluate the link quality.Then the multi-path transmission based on the link quality is carried out.Finally,the data reconstruction task is unloaded to the edge node for execution.Experimental results show that compared with other methods,the data collection method proposed in this paper shows good results in data transmission reliability and network energy consumption when the packet loss rate of link is less than 0.25.(2)In order to solve the problem of route selection due to the vehicle’s mobility characteristics and the limited communication range between roadside units and vehicles,which leads to the vehicle has left the RSU communication range before the unloading task is completed,this paper proposes a reliable transmission strategy based on V2 I direct transmission and V2 V auxiliary transmission.Firstly,by estimating the vehicle movement,the amount of unloading tasks,the maximum transmission delay and the effective life of the link,the transmission strategy is determined.Secondly,when designing the auxiliary transmission strategy,the factors such as the speed,direction and position of the vehicle are comprehensively considered,and these factors are measured by the stability effect value.When constructing the return link,greedy selection method is adopted,and the node with the largest stability efficiency value among the neighbor nodes is selected as the relay node.Experimental results show that the backhaul strategy proposed in this paper is better than other algorithms in terms of transmission delay and packet delivery rate. |