TY - GEN
T1 - THE
T2 - 31st International Conference on Information Networking, ICOIN 2017
AU - Shin, Kilyong
AU - Kim, Yusung
AU - Yeom, Ikjun
N1 - Publisher Copyright:
© 2017 IEEE.
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 -
