Journal of Information Processing
Online ISSN : 1882-6652
ISSN-L : 1882-6652
Congestion Control Algorithms for Collective Perception in Vehicular Networks
Susumu IshiharaKaito FurukawaHaruka Kikuchi
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2022 Volume 30 Pages 22-29

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Abstract

By exchanging information on objects on the road detected by in-vehicle sensors through inter-vehicle communication, vehicles can detect objects that cannot be detected directly by their own sensors. This enables the connected vehicles (CVs) to provide more appropriate safe driving support and automatic driving even in the environment where connected and non-connected vehicles are mixed. Such a system is called a Collective Perception System, and has been actively researched in recent years. However, if individual CVs simply transmit information on the objects they have detected frequently, the wireless communication channel will be congested, and the data originally intended to be sent will not reach the destination, making it difficult for each vehicle to detect other objects quickly. Therefore, appropriate congestion control technology for sensor information transmission is necessary. This paper introduces recent techniques for congestion control in the transmission of vehicle and sensor information in inter-vehicle communication. In addition, we introduce a congestion control technique we have designed based on the relative positions of vehicles.

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© 2022 by the Information Processing Society of Japan
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