Routing method for internet of vehicles based on user activity area model

Abstract

The invention provides a routing method for an internet of vehicles based on a user activity area model. The routing method for the internet of vehicles based on the user activity area model is provided to overcome the problem in the current internet of vehicles that user motion has community character, thus a message packet is difficult to transmit to a destination mode to result in a low delivery rate. The method comprises the following steps: (1) exploring the most possible activity area of a user according to the community character of node activity in a social network (SNs:Social Networks); (2) forwarding a message packet to the most possible occurrence area of the destination node by adopting the principle of proximity; and (3) waiting for the meeting the destination node and a hotspot carrying the message packet to deliver the message packet. The purpose is to change the traditional mode that the message packet is forwarded to a signal node into a mode that the message packet is forwarded to the user activity area, so as to greatly improve the delivery rate of the message packet.

Description

technical field [0001] The invention belongs to the technical field of the wireless network of the Internet of Vehicles, in particular to a routing method of the Internet of Vehicles based on a user activity area model. Background technique [0002] The Vehicular AdHoc Networks (Vehicle AdHocNetworks) is based on the intra-vehicle network, the inter-vehicle network and the vehicle mobile Internet. The system network for wireless communication and information exchange is an integrated network that can realize intelligent traffic management, dynamic information service and intelligent vehicle control. The Internet of Vehicles based on the theory of social networks (Mobilesocialnetworks) is a trend in the routing research of Internet of Vehicles. Social networks are composed of mobile users who carry wireless communication devices and share information through online social network services (such as Facebook). It is of great significance to improve the routing performance by s...

AI Technical Summary

Problems solved by technology

The former method finds a single node in the network. This method does not consider the problem of message packet community in the process of forwarding messages, especially when the destination node is only active in a small area of ​​the network, the message packet encounters The probability of the destination node is low, so it is not conducive to message packet forwarding

The latter obtains the user's location in real time by locating the user, which poses a great challenge to the user's privacy protection and even endangers the user's personal safety. For example, as long as a message request is periodically sent to any user, its location can be obtained in real time track it etc.

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