Abstract
The current data distribution method of vehicular network cannot satisfy the strict spatiotemporal constraints on the transmission of massive service data. Neither can the 5th generation mobile network (5G) meet the massive data demand of vehicular network services. To solve the problems, this paper designs an edge-assisted service data distribution method for vehicular network services. Specifically, the service data distribution was predicted by time series analysis through edge computing, based on the storage capacity of base stations. Then, a spatiotemporal constrained data sharing algorithm was proposed, which sets up a distribution tree to evaluate the importance of each vehicle in data transmission, and heuristically chooses the most important vehicles as seeds to speed up the vehicle-to-vehicle data sharing. Finally, the simulation experiment verifies that our method can greatly reduce the load of 5G network without breaking the spatiotemporal constraints of data transmission in vehicular network.
Highlights
Vehicular network integrates the Internet of Things (IoT) and mobile computing in transport, forming an open and integrated system for human, vehicle and environment
There is no report that considers the group network behaviors of users, or handles vehicle network services depending heavily on locations. This calls for a data distribution method that fully satisfies the spatiotemporal constraints of vehicular network services
EXPERIMENT AND RESULTS ANALYSIS Our experiment evaluates the proposed edge-assisted service data distribution method for vehicular network with two performance indices, namely, total offloading and offloading rate
Summary
Vehicular network integrates the Internet of Things (IoT) and mobile computing in transport, forming an open and integrated system for human, vehicle and environment. To deepen the integration between human, vehicle and environment, new-generation techniques of communication and information processing are embedded in the system to help vehicles network and share information with other vehicles, human, roads as well as service platforms. In this way, vehicles can operate more intelligently and even realize autopiloting. To solve the above problem, this paper designs a twolayer edge computing framework to coordinate the service data distribution of vehicular network based on 5G network Under this framework, the edge server at the base station prepares the buffer strategy for the base station and the vehicle, while the edge server at the vehicle shares service data with other vehicles. The author put forward an edge-assisted service data distribution method for vehicular network
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