| Presentation | 2017-12-15 [Invited Lecture] Video Streaming Method using Edge Computing for IoT Hajime Kanzaki, Kevin Schubert, Nicholas Bambos, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Wireless video applications for Industrial Internet Of Things (IoT) are expanding into a multitude of new services. In the example of cloud processing for visual object detection, a camera is connected to the cloud via a local server and a data network, allowing the processing load to be handled in a distributed manner. This service model heavy taxes the data network with potentially unneeded traffic, thus degrading the overall quality of service for all users on the network. Edge computing techniques mitigate the degradation of service quality by partially processing the sensor data at the local server before the data is transmitted to the cloud. This is done according to the level of interest of the captured data which is categorized by machine learning algorithms. However, conventional edge computing is not optimally efficient as further recognition attributes of the captured object data are not considered. This paper presents a model that adds control of the camera video rate by considering the attributes of captured object. We then investigate cost tradeoffs using dynamic programming, and evaluates the behavior of proposed method under wireless channel condition using NS-3 simulations. Our results show that by adding intelligent adaptive video rate control to the cloud processing of video data capture can reduce overall system power use while improving system efficiency and subsequently network throughput. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Industrial IoT / Video streaming / Edge computing / Optimization / Dynamic Programming |
| Paper # | NS2017-135,RCS2017-261 |
| Date of Issue | 2017-12-07 (NS, RCS) |
| Conference Information | |
| Committee | RCS / NS |
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| Conference Date | 2017/12/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Aster Plaza |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Ad-hoc Network, Ubiquitous Network, Wireless Communication, security, Multi-Access Network |
| Chair | Hidekazu Murata(Kyoto Univ.) / Hideki Tode(Osaka Pref. Univ.) |
| Vice Chair | Yukitoshi Sanada(Keio Univ.) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Yoshikatsu Okazaki(NTT) |
| Secretary | Yukitoshi Sanada(Toshiba) / Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(Kyushu Inst. of Tech.) / Yoshikatsu Okazaki(NTT) |
| Assistant | Tetsuya Yamamoto(Panasonic) / Koichi Ishihara(NTT) / Kazushi Muraoka(NEC) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / 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) | [Invited Lecture] Video Streaming Method using Edge Computing for IoT |
| Sub Title (in English) | |
| Keyword(1) | Industrial IoT |
| Keyword(2) | Video streaming |
| Keyword(3) | Edge computing |
| Keyword(4) | Optimization |
| Keyword(5) | Dynamic Programming |
| 1st Author's Name | Hajime Kanzaki |
| 1st Author's Affiliation | Hitachi, Ltd.(Hitachi) |
| 2nd Author's Name | Kevin Schubert |
| 2nd Author's Affiliation | Stanford University(Stanford Univ.) |
| 3rd Author's Name | Nicholas Bambos |
| 3rd Author's Affiliation | Stanford University(Stanford Univ.) |
| Date | 2017-12-15 |
| Paper # | NS2017-135,RCS2017-261 |
| Volume (vol) | vol.117 |
| Number (no) | NS-351,RCS-352 |
| Page | pp.pp.47-52(NS), pp.59-64(RCS), |
| #Pages | 6 |
| Date of Issue | 2017-12-07 (NS, RCS) |