TY - GEN
T1 - Reducing energy consumption with batched task executions
AU - Yasukata, Kenichi
AU - Horikawa, Tetsuro
AU - Honda, Michio
AU - Tokuda, Hideyuki
PY - 2012
Y1 - 2012
N2 - In sensing systems, data compression is a promised way to save energy because it reduces the rate of data transmission, but less attention has been paid to the underlying task scheduling algorithms. We present a Double Rate Bundle Scheduling algorithm (DRBS) that maximizes the sleep state period of the CPU to reduce energy consumption. Our prototype implementation in a Mote device improves energy efficiency up to 8% compared to existing algorithms.
AB - In sensing systems, data compression is a promised way to save energy because it reduces the rate of data transmission, but less attention has been paid to the underlying task scheduling algorithms. We present a Double Rate Bundle Scheduling algorithm (DRBS) that maximizes the sleep state period of the CPU to reduce energy consumption. Our prototype implementation in a Mote device improves energy efficiency up to 8% compared to existing algorithms.
KW - Operating system
KW - Real-time and embedded systems
UR - http://www.scopus.com/inward/record.url?scp=84873425708&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873425708&partnerID=8YFLogxK
U2 - 10.1145/2426656.2426699
DO - 10.1145/2426656.2426699
M3 - Conference contribution
AN - SCOPUS:84873425708
SN - 9781450311694
T3 - SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
SP - 343
EP - 344
BT - SenSys 2012 - Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems
T2 - 10th ACM Conference on Embedded Networked Sensor Systems, SenSys 2012
Y2 - 6 November 2012 through 9 November 2012
ER -
