Congestion Control Algorithms for Collective Perception in Vehicular Networks

• Item type: Journal(1)
• 公開日: 2022-01-15
• タイトル: Congestion Control Algorithms for Collective Perception in Vehicular Networks
• タイトル / 言語: en
• タイトル: Congestion Control Algorithms for Collective Perception in Vehicular Networks
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集:ニューノーマル時代の高度交通システムとパーベイシブシステム（招待論文）] vehicular networks, ITS, collective perceptions, decentralized congestion control, IEEE802.11p
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Shizuoka University
• 著者所属: Shizuoka University／Presently with Softbank Corp.
• 著者所属: Shizuoka University／Presently with Denso Corporation
• 著者所属(英): en
• 著者所属(英): Shizuoka University
• 著者所属(英): en
• 著者所属(英): Shizuoka University / Presently with Softbank Corp.
• 著者所属(英): en
• 著者所属(英): Shizuoka University / Presently with Denso Corporation
• 著者名: Susumu, Ishihara; Kaito, Furukawa; Haruka, Kikuchi
• 著者名(英): Susumu, Ishihara; Kaito, Furukawa; Haruka, Kikuchi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.30(2022) (online); DOI http://dx.doi.org/10.2197/ipsjjip.30.22; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.30(2022) (online); DOI http://dx.doi.org/10.2197/ipsjjip.30.22; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 63, 号 1, 発行日 2022-01-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764