Data forwarding method for vehicle-mounted delay-tolerant network based on semi-naive Bayesian classifier
A Bayesian classifier and vehicle-mounted delay-tolerant network technology, which is applied to services based on specific environments, communication between vehicles and infrastructure, and vehicle components, and can solve problems such as low message delivery rate and large network resource consumption. problems, achieve the effect of reducing network overhead, broad application prospects, and improving message delivery rate
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[0042] Such as figure 1 As shown, the present invention discloses a method for forwarding data in a vehicle-mounted delay-tolerant network based on a semi-naive Bayesian classifier, comprising the following steps:
[0043] S1. Make each vehicle-mounted delay-tolerant network node maintain a data packet forwarding history table.
[0044] The attributes in the data message forwarding history table include message identifier, destination node, area code, time code, contact interval code and node classification.
[0045] Packet identifier (ID) is the unique identifier of any data packet. The destination node (Des) is the identifier of the destination node of the data message. Area Code (x 1 ) is the code for the geographical area, that is, the geographical area of the entire network is divided into different grids with a size of 10m×10m, and a unique area code is assigned to each grid, which is used to record the information of the node when the data message is forwarded. lo...
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