Geographic position routing method based on prediction and meeting historical information in vehicle-mounted opportunity network

Abstract

The invention discloses a geographic position routing method based on prediction and encounter historical information in a vehicle-mounted opportunity network, which comprises the following steps: S1, each vehicle node in the vehicle-mounted opportunity network periodically broadcasts own geographic position information, and judges whether the vehicle node is located at an intersection section; s2, when the node receives a beacon packet from an intersection node, it is indicated that the node runs near the intersection; the nodes operating near the intersection start a prediction algorithm to judge the advancing direction of the data packet; s3, calculating an included angle between a current node and a destination node, and when theta is less than or equal to 25 degrees, starting a routing method of a straight road section to select a next-hop relay node; s4, when theta < gt >; at 25 degrees, starting a routing method of an intersection road section, and judging whether the message transmission direction of the message needs to be changed or not by a current node; and if the direction needs to be changed, the information is firstly transmitted to the intersection node, otherwise, the information bypasses the intersection node and is delivered forwards. According to the invention, the data transmission efficiency can be effectively improved, and the message transmission delay is reduced.

Description

technical field [0001] The invention relates to the field of vehicle-mounted mobile opportunistic networks, in particular to a geographic location routing method based on prediction and encounter history information in the vehicle-mounted opportunistic network. Background technique [0002] With the steady development of communication technology, wireless communication technology, as an important branch, has become the most common solution for engineers to solve many communication tasks due to its convenient and fast access method and strong mobility. In terms of urban traffic applications, in order to provide a more convenient, safe, and efficient traffic network system, improve the stability and security of information communication between vehicles, and between vehicles and roadside solid-state infrastructure, combining wireless communication, the Internet and traffic System and other modern information technology, intelligent transportation system was born and has been r...

AI Technical Summary

Problems solved by technology

The main problem faced by the vehicle self-organizing network is still the high-speed movement of the vehicle, which leads to the disconnection of the communication link between the network nodes, and the frequent fragmentation of the network topology.

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