GPSR routing security improvement method based on linear regression movement position prediction

Abstract

The invention provides a GPSR routing security improvement method based on linear regression movement position prediction, and the method comprises the following steps that S10, a vehicle periodically broadcasts a self HELLO message, receives a HELLO message broadcasted by a neighbor node and updates a self routing neighbor list; S20, the vehicle sends a position prediction request to predict the geographic position of the node in the neighbor list; S30, the vehicle calls a neighbor node verification algorithm, corrects old position data in the list, and eliminates malicious nodes; S40, the vehicle selects an optimal routing node by using a GPSR greedy algorithm or a peripheral forwarding algorithm to realize safe routing. According to the GPSR routing safety improvement method based on linear regression moving position prediction, a moving position prediction model based on linear regression is designed, the driving distance of a vehicle at the next moment is predicted, the longitude and latitude of the vehicle in the next second are calculated after the moving direction of the vehicle is predicted, reliability evaluation of the actual position of the vehicle is achieved, and correctness and effectiveness of GPSR route generation are guaranteed.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles application, in particular to a GPSR routing security improvement method based on linear regression mobile position prediction. Background technique [0002] Vehicle ad-hoc network (VANET) aims to organically combine "people-vehicle-road-cloud" through wireless network and information technology, so as to achieve the goals of ensuring traffic safety, improving driving experience, and expanding intelligent services. . However, the dynamic changes of vehicle networking and frequent routing topology updates bring great challenges to maintaining the routing security of communication networks. As the global positioning system is becoming an essential device for vehicles, it becomes possible to implement location-based routing protocols for vehicle ad hoc networks. Location-based routing protocols make routing decisions through the location information of neighbors and destination nodes. ...

AI Technical Summary

Problems solved by technology

If the interval time is too short, the channel overhead will be increased and the communication efficiency will be reduced. If the interval time is too long, the geographical location carried by the beacon packet will not be able to reflect the movement of the vehicle in time, and the wrong routing node will be calculated.

[0004] 2. Credibility of beacon grouping

[0006] However, none of the above solutions solves the real and effective problem of the location information of neighbor nodes before the routing decision of the GPSR protocol. At the same time, it does not consider the outdated problem of location information caused by the interval between sending beacon packets.

Therefore, the above solutions can still lead to security attacks such as route forgery, spoofing, etc., and also cause inaccurate routing judgments due to calculation errors, reducing the availability of the Internet of Vehicles network.

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