TY - GEN
T1 - Energy efficient operating mode assignment for real-time tasks in wireless embedded systems
AU - Xue, Chun Jason
AU - Yuan, Zhaohui
AU - Xing, Guoliang
AU - Shao, Zili
AU - Sha, Edwin
PY - 2008
Y1 - 2008
N2 - Minimizing energy consumption is a key issue in designing real-time applications on wireless embedded systems. While a lot of work has been done to manage energy consumption on single processor real-time system, few work addresses network-wide energy consumption management for real-time tasks. Moreover, existing work on network-wide energy consumption assumes that the underlying network is always connected, which is not consistent with the practice in which wireless nodes often turn off their network interfaces in a sleep schedule to reduce energy consumption. In this paper, we propose solutions to minimize network-wide energy consumption for real-time tasks with precedence constraints executing on wireless embedded systems. Our solutions take the radio sleep scheduling of wireless nodes into account when adjusting the execution modes of processors. We also propose a runtime dynamic energy management scheme to further reduce energy consumption while guaranteeing the timing constraint. The experiments show that our approach significantly reduces total energy consumption compared with the previous work.
AB - Minimizing energy consumption is a key issue in designing real-time applications on wireless embedded systems. While a lot of work has been done to manage energy consumption on single processor real-time system, few work addresses network-wide energy consumption management for real-time tasks. Moreover, existing work on network-wide energy consumption assumes that the underlying network is always connected, which is not consistent with the practice in which wireless nodes often turn off their network interfaces in a sleep schedule to reduce energy consumption. In this paper, we propose solutions to minimize network-wide energy consumption for real-time tasks with precedence constraints executing on wireless embedded systems. Our solutions take the radio sleep scheduling of wireless nodes into account when adjusting the execution modes of processors. We also propose a runtime dynamic energy management scheme to further reduce energy consumption while guaranteeing the timing constraint. The experiments show that our approach significantly reduces total energy consumption compared with the previous work.
UR - https://www.scopus.com/pages/publications/53549119965
U2 - 10.1109/RTCSA.2008.29
DO - 10.1109/RTCSA.2008.29
M3 - 会议稿件
AN - SCOPUS:53549119965
SN - 9780769533490
T3 - Proceedings - 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2008
SP - 237
EP - 246
BT - Proceedings - 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2008
T2 - 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2008
Y2 - 25 August 2008 through 27 August 2008
ER -