LEneS: task scheduling for low-energy systems using variable supply voltage processors
Proceedings of the 2001 Asia and South Pacific Design Automation Conference
Hybrid global/local search strategies for dynamic voltage scaling in embedded multiprocessors
Proceedings of the ninth international symposium on Hardware/software codesign
A scheduling model for reduced CPU energy
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
VLSID '03 Proceedings of the 16th International Conference on VLSI Design
Energy Aware Scheduling for Distributed Real-Time Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Variable voltage task scheduling algorithms for minimizing energy/power
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Dynamic voltage scaling for systemwide energy minimization in real-time embedded systems
Proceedings of the 2004 international symposium on Low power electronics and design
Energy-balanced task allocation for collaborative processing in wireless sensor networks
Mobile Networks and Applications
IEEE Transactions on Parallel and Distributed Systems
Leakage-Aware Energy-Efficient Scheduling of Real-Time Tasks in Multiprocessor Systems
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
System-wide energy minimization for real-time tasks: Lower bound and approximation
ACM Transactions on Embedded Computing Systems (TECS)
Z-MAC: a hybrid MAC for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
| Hi-index | 0.00 |
Minimizing energy consumption is a key issue in designing wireless embedded systems. While a lot of work has been done to manage energy consumption on single processor real-time systems, little work has been done in network-wide energy consumption management for real-time tasks. Existing work on network-wide energy minimization 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. Moreover, existing sleep scheduling techniques are unaware of computation status and often lead to unnecessary wakeup overheads. 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 jointly consider the radio sleep scheduling of wireless nodes and the execution modes of processors. Based on different wireless network topologies, we propose energy management schemes to minimize energy consumption while guaranteeing the timing constraint and precedence constraint. When the precedence graph is a tree, our solution gives optimal result on energy management. The experiments show that our approach significantly reduces total energy consumption compared with previous works.