System-level power optimization: techniques and tools
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Dynamic Power Management in Wireless Sensor Networks
IEEE Design & Test
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
An Ultra Low Power System Architecture for Sensor Network Applications
Proceedings of the 32nd annual international symposium on Computer Architecture
ISS-centric modular HW/SW co-simulation
GLSVLSI '06 Proceedings of the 16th ACM Great Lakes symposium on VLSI
Collaborative Deployment Optimization and Dynamic Power Management in Wireless Sensor Networks
GCC '06 Proceedings of the Fifth International Conference on Grid and Cooperative Computing
Distributed power-management techniques for wireless network video systems
Proceedings of the conference on Design, automation and test in Europe
ICDCSW '07 Proceedings of the 27th International Conference on Distributed Computing Systems Workshops
ICNS '07 Proceedings of the Third International Conference on Networking and Services
A control theoretic approach to energy-efficient pipelined computation in MPSoCs
ACM Transactions on Embedded Computing Systems (TECS) - Special Section LCTES'05
Fusion of String-Matched Templates for Continuous Activity Recognition
ISWC '07 Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
Flexible energy-aware simulation of heterogeneous wireless sensor networks
Proceedings of the Conference on Design, Automation and Test in Europe
Network-aware design-space exploration of a power-efficient embedded application
Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
| Hi-index | 0.00 |
Today's sensor nodes can be equipped with powerful microcontrollers to address the increasing need of real-time processing of sensed data. For instance, body sensor networks for gesture recognition require filtering of acceleration values at line rate. This requirement imposes a paradigm shift with regard to more traditional sensor networks characterized by low activity duty cycles. Therefore, energy conservation strategies applied to wireless sensor nodes to increase their lifetime must take into account computation power rather than focusing only on communication power. In this paper we present a novel approach which aims at exploiting the knowledge of network status to optimize the power consumption of the node microcontroller. The proposed approach is tested in various network conditions, both synthetic and realistic, in the context of IEEE 802.15.4 standard. Experimental results demonstrate that the proposed approach allows to achieve power savings of up to 70% with minimum performance penalty.