2021 Fiscal Year Final Research Report
A Network Management Protocol for Connected Cars
Project/Area Number |
20K19790
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 60060:Information network-related
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Research Institution | Chuo University |
Principal Investigator |
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Project Period (FY) |
2020-04-01 – 2022-03-31
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Keywords | 自動運転車 |
Outline of Final Research Achievements |
Connected cars generate a huge amount of Internet of Things (IoT) sensor information called Controller Area Network (CAN) data. Although each CAN data packet is very small, a connected car generates thousands of CAN data packets per second. Therefore, real-time CAN data collection from connected cars to a cloud system is one of the most challenging problems in the current IoT. In this paper, we propose an Edge computing-enhanced network Redundancy Elimination service (EdgeRE) for CAN data collection. In developing EdgeRE, we design a CAN data compression architecture that combines in-vehicle computers, edge atacenters, and a public cloud system. EdgeRE includes the idea of a ierarchical data compression and dynamic data buffering at edge datacenters for real-time CAN data collection. Across a wide range of field tests with connected cars and an edge computing testbed, we show that the EdgeRE reduces the bandwidth usage by 88% and the number of packets by 99%.
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Free Research Field |
コンピュータネットワーク
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Academic Significance and Societal Importance of the Research Achievements |
本研究は、コストの安い既存の携帯電話網を自動運転に活用するという点で研究成果の実現性が高く、コネクテッドカーが高速移動する際の携帯電話網の通信品質の安定化、高信頼化に役立つ通信プロトコルを実現するという点で社会への波及効果が期待できる。また、本研究は、先進国だけでなく、携帯電話網の通信品質が不安定な発展途上国において自動運転の早期実用化につながるため、社会的に大きな意味を持つ。
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