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Paper Abstract and Keywords
Presentation 2017-12-15 10:55
[Invited Lecture] Video Streaming Method using Edge Computing for IoT
Hajime Kanzaki (Hitachi), Kevin Schubert, Nicholas Bambos (Stanford Univ.) NS2017-135 RCS2017-261
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Industrial IoT / Video streaming / Edge computing / Optimization / Dynamic Programming / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 351, NS2017-135, pp. 47-52, Dec. 2017.
Paper # NS2017-135 
Date of Issue 2017-12-07 (NS, RCS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NS2017-135 RCS2017-261

Conference Information
Committee RCS NS  
Conference Date 2017-12-14 - 2017-12-15 
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 
Paper Information
Registration To NS 
Conference Code 2017-12-RCS-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) 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.)
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Speaker Author-1 
Date Time 2017-12-15 10:55:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2017-135, RCS2017-261 
Volume (vol) vol.117 
Number (no) no.351(NS), no.352(RCS) 
Page pp.47-52(NS), pp.59-64(RCS) 
Date of Issue 2017-12-07 (NS, RCS) 

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