Adaptive service data distribution method based on opportunistic communication in the Internet of Vehicles environment

Abstract

An adaptive service data distribution method based on opportunistic communication in the Internet of Vehicles environment. Adjacent vehicles or RSUs receive Beacon messages to judge the validity of the messages. If the forwarding conditions are met, the expected forwarding delay is calculated and the expected forwarding delay value is added to the field. Return RREP. After the last hop vehicle or RSU receives the RREP from its adjacent object, it executes the RREP response processing process and returns RREQ to the optimal next hop selected from the candidate object set. After receiving the RREQ, the candidate object judges whether All data packets arrive at the target location, if not all reach the target location, the forwarding vehicle or RSU will restart a new round of broadcasting until all data packets reach the target vehicle. The invention realizes the effective distribution of service data in the Internet of Vehicles environment, and improves the packet loss rate, reduces the number of retransmissions, delay and network overhead and other network performance under the condition of ensuring that other indicators are not damaged.

Description

technical field [0001] The invention belongs to the field of wireless communication, and in particular relates to a method for distributing adaptive service data based on opportunistic communication in an Internet of Vehicles environment. Background technique [0002] As a self-organizing network composed of vehicles and traffic roadside facilities (RSU), VANETs have many unique characteristics different from traditional MANETs: 1) The network topology is limited, but highly dynamic, and network connections are difficult to maintain. 2) Vehicle movement is regular and predictable. 3) Message dissemination is directional and restricted by geographic location. 4) VANETs follow the road topology and are closely integrated with traffic applications. Therefore, different application scenarios will have a huge impact on the design and formulation of data distribution protocols, making it difficult for traditional self-organizing network data distribution protocols to meet the qu...

AI Technical Summary

Problems solved by technology

3) Message dissemination is directional and restricted by geographic location

The disadvantage of this method is that when all adjacent objects do not satisfy the forwarding policy, the request is discarded, which will cause multiple broadcasts, and then form a broadcast storm

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