Internet-of-vehicle long distance data communication relay agent method based on fountain code

Abstract

The invention discloses an Internet-of-vehicle long distance data communication relay agent method based on a fountain code. The method comprises steps that S1, the fountain code is utilized by a sending end vehicle node to code sending-needing data; S2, a fountain code message is forwarded by a relay node, and a road side unit (RSU) is taken as an agent for fountain coding; S3, foundation coding of the message after successful coding is carried out for another time by an agent node; and S4, a foundation coding message is received by a reception end vehicle node, and foundation coding is further carried out. The method is advantaged in that the coding process is simplified, a coding success rate is further improved, expected forwarding frequency of data transmission is further improved, and data transmission efficiency is improved.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a relay agent method for long-distance data communication of Internet of Vehicles based on fountain codes. Background technique [0002] Today's vehicle ad-hoc networks (VANETs), also known as the Internet of Vehicles, is an ad-hoc wireless communication network formed with vehicles and roadside facilities as nodes, mainly including vehicle-to-vehicle (V2V) and vehicle-to-vehicle (V2V) Communication with infrastructure (V2I) is an important part of intelligent transportation system. In the Internet of Vehicles, the movement of vehicles causes the instability of the network topology, and frequent connection establishment and disconnection between communication nodes makes the network reliability of the Internet of Vehicles poor. In such an environment, the existing reliable transmission protocols (such as TCP, etc.) based on Automatic Repeat-reQuest (ARQ) will continuously t...

AI Technical Summary

Problems solved by technology

[0004] LT code (Luby Transform Codes) is a typical fountain code. Although it can achieve high decoding efficiency by using a reasonable degree distribution function, its decoding complexity increases nonlinearly.

To obtain the last few raw data, it is necessary to decode the encoded message with a high degree, which has high encoding and decoding complexity, and the decoding success rate is low under the same decoding overhead

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