Power analysis of embedded software: a first step towards software power minimization
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on low-power design
The design and use of simplepower: a cycle-accurate energy estimation tool
Proceedings of the 37th Annual Design Automation Conference
Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
JouleTrack: a web based tool for software energy profiling
Proceedings of the 38th annual Design Automation Conference
Automated energy/performance macromodeling of embedded software
Proceedings of the 41st annual Design Automation Conference
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
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Energy consumption estimation in sensor network is a critical process for network lifetime estimation before actual deployment. Energy consumption can be estimated by simulating the sensor network with a power model. Power model is the key component for the accurate estimation. However, the power model is not publicly accessible and it is not easy to generate accurate fine-grain power model. In this paper we proposed a simplified but yet accurate power model for AVR-based sensor nodes. Also, we developed an automated power model generation tool. The tool generates an instruction-level power model that can be connected to sensor network simulators. We model the current consumption of ATmega128 instruction set which is the most widely used processor in sensor node. Loading, execution, and control of the measurement framework are managed by the tool. Using the tool, we can generate power models of various sensor nodes using ATmega128 as their processor. Experimental result shows that our tool successfully generated accurate power models of various sensor nodes including Mica2.