ACM Home Page
Please provide us with feedback. Feedback
Modeling the energy cost of applications on portable wireless devices
Full text PdfPdf (367 KB)
Source
International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems table of contents
Vancouver, British Columbia, Canada
SESSION: Energy awareness table of contents
Pages 346-353  
Year of Publication: 2008
ISBN:978-1-60558-235-1
Authors
Rajesh Palit  University of Waterloo, Waterloo, ON, Canada
Ajit Singh  University of Waterloo, Waterloo, ON, Canada
Kshirasagar Naik  University of Waterloo, Waterloo, ON, Canada
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 81,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1454503.1454562
What is a DOI?

ABSTRACT

Extending the battery life of portable wireless devices has been in the focus of researchers for close to a decade. Several energy management techniques have been investigated at different levels of system design -- starting from silicon at the bottom to application design at the top, with communication protocols and operating system in between. In this paper, we present a model to estimate the energy cost of an application running on a portable wireless device. To develop the cost model, we partition a wireless device into two components, namely, computation and communication. Each component is modeled by a state-transition diagram. Two attributes are associated with each state: an average power cost and a state residence time. The cost of each state of the state-transition diagrams is validated by actual measurements. For a constant voltage supply, the average power cost of a state is denoted by the average current drawn by the component. The state residence times are estimated from the behavior of applications. The cost model has been validated by performing actual measurement of energy cost. We find that the estimated cost and the actual energy cost are within 5-10% of each other. This study will help us in improving the design of energy efficient software for portable devices. Moreover, the energy consumption breakdown into components will be an essential guide for future research in energy management of hardware and software systems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
2
3
4
 
5
 
6
P. Havinga and G. Smit. Energy-efficient wireless networking for multimedia applications. Wireless Communications and Mobile Computing, Wiley, pp. 165--184. 2001.
 
7
 
8
 
9
10
 
11
S. Marek. Battling the battery drain, 2002. Wireless Internet Magazine, January.
 
12
 
13
 
14
M. Nemani and F. Najm. Towards a high-level power estimation capability. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 15(6):588--598, June 1996.
 
15
R. Powers. Batteries of low electronics. Proceedings of IEEE, 83(4), April 1995.
 
16
17
18
 
19
 
20

Collaborative Colleagues:
Rajesh Palit: colleagues
Ajit Singh: colleagues
Kshirasagar Naik: colleagues