| Presentation | 2019-01-17 [Encouragement Talk] A Data Compression Method for Autonomous Vehicles Using Edge Computing Masahiro Yoshida, Koya Mori, Tomohiro Inoue, Hiroyuki Tanaka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Autonomous mobility generates a huge amount of sensor information such as CAN data. Recently, there is a growing interest for collecting CAN data into cloud datacenters in order to realize advanced safe driving support and autonomous driving. Although the size of each CAN data is very small (<16 Byte), an autonomous mobility vehicle may generate more than 1,000 data packets per minute. Autonomous mobility vehicles send CAN data to cloud datacenters via mobile networks with limited capacity. Thus, it is necessary to compress the huge amount of short CAN data packets for efficiency. In this paper, we propose EdgeRE, a practical and efficient architecture of edge enhanced Redundancy Elimination (RE) for autonomous mobility. EdgeRE consists of two packet compression techniques. First, EdgeRE compresses CAN data transported through the mobile network by using packet caching (i.e., rabin fingerprinting). Second, EdgeRE compresses CAN data transported through the internet by using packet coding (i.e., gzip). To reduce the number of packets arriving at the cloud datacenters, EdgeRE packaged together individual CAN data packets at the edge server. As a result, during the on-road evaluation, 84% of CAN data packets was able to be compressed in real time. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Autonomous Mobility / Edge Computing / CAN Data / Redundancy Elimination (RE) |
| Paper # | NS2018-178 |
| Date of Issue | 2019-01-10 (NS) |
| Conference Information | |
| Committee | NS |
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| Conference Date | 2019/1/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagasaki Prefectural Art Museum |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network software (Software Architecture, Middleware), Network Application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, Network/System reliability, Network/System evaluation, etc. |
| Chair | Yoshikatsu Okazaki(NTT) |
| Vice Chair | Akihiro Nakao(Univ. of Tokyo) |
| Secretary | Akihiro Nakao(NTT) |
| Assistant | Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Encouragement Talk] A Data Compression Method for Autonomous Vehicles Using Edge Computing |
| Sub Title (in English) | |
| Keyword(1) | Autonomous Mobility |
| Keyword(2) | Edge Computing |
| Keyword(3) | CAN Data |
| Keyword(4) | Redundancy Elimination (RE) |
| 1st Author's Name | Masahiro Yoshida |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 2nd Author's Name | Koya Mori |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 3rd Author's Name | Tomohiro Inoue |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 4th Author's Name | Hiroyuki Tanaka |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| Date | 2019-01-17 |
| Paper # | NS2018-178 |
| Volume (vol) | vol.118 |
| Number (no) | NS-392 |
| Page | pp.pp.1-6(NS), |
| #Pages | 6 |
| Date of Issue | 2019-01-10 (NS) |