THE: Time Hint Enabled RF powered computing

Kilyong Shin; Yusung Kim; Ikjun Yeom

doi:10.1109/ICOIN.2017.7899516

THE: Time Hint Enabled RF powered computing

Kilyong Shin
, Yusung Kim
, Ikjun Yeom

College of Computing and Informatics

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In RF-powered computing systems, the battery-less devices can operate by harvesting energy from ambient RF signals. Although the energy is almost free, but the devices tend to black out frequently. Besides the devices' active period is short, if a task needs longer computation time than the active period, the task will fail. For example, the framed slotted ALOHA, which is a collision avoidance algorithm in RFID systems, may require pretty long active period. We first examine that the task failure due to the blackout cause performance degradation seriously. We also suggest a novel design called Time Hint Enabled (THE) RF powered computing, which enables the devices to trace the passage of time even though they frequently blacked out. We implemented our scheme in a real testbed. The experimental results showed that the respond rate increases up to 2.6 times.

Original language	English
Title of host publication	31st International Conference on Information Networking, ICOIN 2017
Publisher	IEEE Computer Society
Pages	262-264
Number of pages	3
ISBN (Electronic)	9781509051243
DOIs	https://doi.org/10.1109/ICOIN.2017.7899516
State	Published - 13 Apr 2017
Event	31st International Conference on Information Networking, ICOIN 2017 - Da Nang, Viet Nam Duration: 11 Jan 2017 → 13 Jan 2017

Publication series

Name	International Conference on Information Networking
ISSN (Print)	1976-7684

Conference

Conference	31st International Conference on Information Networking, ICOIN 2017
Country/Territory	Viet Nam
City	Da Nang
Period	11/01/17 → 13/01/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/ICOIN.2017.7899516

Cite this

@inproceedings{ddb3303ac78441e09ce894e580ab42f6,

title = "THE: Time Hint Enabled RF powered computing",

abstract = "In RF-powered computing systems, the battery-less devices can operate by harvesting energy from ambient RF signals. Although the energy is almost free, but the devices tend to black out frequently. Besides the devices' active period is short, if a task needs longer computation time than the active period, the task will fail. For example, the framed slotted ALOHA, which is a collision avoidance algorithm in RFID systems, may require pretty long active period. We first examine that the task failure due to the blackout cause performance degradation seriously. We also suggest a novel design called Time Hint Enabled (THE) RF powered computing, which enables the devices to trace the passage of time even though they frequently blacked out. We implemented our scheme in a real testbed. The experimental results showed that the respond rate increases up to 2.6 times.",

author = "Kilyong Shin and Yusung Kim and Ikjun Yeom",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 31st International Conference on Information Networking, ICOIN 2017 ; Conference date: 11-01-2017 Through 13-01-2017",

year = "2017",

month = apr,

day = "13",

doi = "10.1109/ICOIN.2017.7899516",

language = "English",

series = "International Conference on Information Networking",

publisher = "IEEE Computer Society",

pages = "262--264",

booktitle = "31st International Conference on Information Networking, ICOIN 2017",

}

Shin, K, Kim, Y & Yeom, I 2017, THE: Time Hint Enabled RF powered computing. in 31st International Conference on Information Networking, ICOIN 2017., 7899516, International Conference on Information Networking, IEEE Computer Society, pp. 262-264, 31st International Conference on Information Networking, ICOIN 2017, Da Nang, Viet Nam, 11/01/17. https://doi.org/10.1109/ICOIN.2017.7899516

TY - GEN

T1 - THE

T2 - 31st International Conference on Information Networking, ICOIN 2017

AU - Shin, Kilyong

AU - Kim, Yusung

AU - Yeom, Ikjun

PY - 2017/4/13

Y1 - 2017/4/13

N2 - In RF-powered computing systems, the battery-less devices can operate by harvesting energy from ambient RF signals. Although the energy is almost free, but the devices tend to black out frequently. Besides the devices' active period is short, if a task needs longer computation time than the active period, the task will fail. For example, the framed slotted ALOHA, which is a collision avoidance algorithm in RFID systems, may require pretty long active period. We first examine that the task failure due to the blackout cause performance degradation seriously. We also suggest a novel design called Time Hint Enabled (THE) RF powered computing, which enables the devices to trace the passage of time even though they frequently blacked out. We implemented our scheme in a real testbed. The experimental results showed that the respond rate increases up to 2.6 times.

AB - In RF-powered computing systems, the battery-less devices can operate by harvesting energy from ambient RF signals. Although the energy is almost free, but the devices tend to black out frequently. Besides the devices' active period is short, if a task needs longer computation time than the active period, the task will fail. For example, the framed slotted ALOHA, which is a collision avoidance algorithm in RFID systems, may require pretty long active period. We first examine that the task failure due to the blackout cause performance degradation seriously. We also suggest a novel design called Time Hint Enabled (THE) RF powered computing, which enables the devices to trace the passage of time even though they frequently blacked out. We implemented our scheme in a real testbed. The experimental results showed that the respond rate increases up to 2.6 times.

UR - https://www.scopus.com/pages/publications/85018305300

U2 - 10.1109/ICOIN.2017.7899516

DO - 10.1109/ICOIN.2017.7899516

M3 - Conference contribution

AN - SCOPUS:85018305300

T3 - International Conference on Information Networking

SP - 262

EP - 264

BT - 31st International Conference on Information Networking, ICOIN 2017

PB - IEEE Computer Society

Y2 - 11 January 2017 through 13 January 2017

ER -

THE: Time Hint Enabled RF powered computing

Abstract

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Conference

UN SDGs

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