Article

Dynamic battery state aware approaches for improving battery utilization

Authors:

Mani B. SrivastavaAuthors Info & Claims

CASES '02: Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems

Pages 225 - 231

https://doi.org/10.1145/581630.581666

Published: 08 October 2002 Publication History

Abstract

In this paper we introduce novel battery state aware strategies that improve the performance of battery operated systems. In our analysis, we consider the total amount of work done (or service) as the metric instead of considering just the lifetime. Based on our analysis using service curves, we formulate our static approach which generalizes many of the battery aware approaches introduced in the literatures. The results show that the static approach increases the battery utilization by 600% over a non battery aware approach. Furthermore, we show that our dynamic battery state aware approach improves upon the static approach by dynamically adapting the system performance level based on batteryes voltage slope. The results indicate that the dynamic approach achieves improvement of up to 20% over the static approach.

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Cited By

Nithi Nde Lind van Wijngaarden A(2011)Smart power management for mobile handsetsBell Labs Technical Journal10.1002/bltj.2047815:4(149-168)Online publication date: 1-Mar-2011
https://dl.acm.org/doi/10.1002/bltj.20478
Sausen PSpohn MPerkusich A(2010)Broadcast routing in wireless sensor networks with dynamic power management and multi-coverage backbonesInformation Sciences: an International Journal10.1016/j.ins.2009.11.016180:5(653-663)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1016/j.ins.2009.11.016
da Cunha Ade Almeida Bda Silva D(2009)Remaining Capacity Measurement and Analysis of Alkaline Batteries for Wireless Sensor NodesIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2009.201366058:6(1816-1822)Online publication date: Jun-2009
https://doi.org/10.1109/TIM.2009.2013660
Show More Cited By

Index Terms

Dynamic battery state aware approaches for improving battery utilization
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
2. General and reference
  1. Cross-computing tools and techniques

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cover image ACM Conferences

CASES '02: Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems

October 2002

324 pages

ISBN:1581135750

DOI:10.1145/581630

General Chairs:
Shuvra S. Bhattacharyya
University of Maryland
,
Trevor Mudge
University of Michigan
,
Program Chairs:
Wayne Wolf
Princeton University
,
Ahmed Jerraya
TIMA, Grenoble, France

Copyright © 2002 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 October 2002

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Cited By

Nithi Nde Lind van Wijngaarden A(2011)Smart power management for mobile handsetsBell Labs Technical Journal10.1002/bltj.2047815:4(149-168)Online publication date: 1-Mar-2011
https://dl.acm.org/doi/10.1002/bltj.20478
Sausen PSpohn MPerkusich A(2010)Broadcast routing in wireless sensor networks with dynamic power management and multi-coverage backbonesInformation Sciences: an International Journal10.1016/j.ins.2009.11.016180:5(653-663)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1016/j.ins.2009.11.016
da Cunha Ade Almeida Bda Silva D(2009)Remaining Capacity Measurement and Analysis of Alkaline Batteries for Wireless Sensor NodesIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2009.201366058:6(1816-1822)Online publication date: Jun-2009
https://doi.org/10.1109/TIM.2009.2013660
Sausen PSpohn MPerkusich A(2008)Broadcast routing in Wireless Sensor Networks with Dynamic Power Management2008 IEEE Symposium on Computers and Communications10.1109/ISCC.2008.4625620(1090-1095)Online publication date: Jul-2008
https://doi.org/10.1109/ISCC.2008.4625620
Sausen PSpohny MPerkusichy A(2008)Energy efficient blind flooding in wireless sensors networks2008 34th Annual Conference of IEEE Industrial Electronics10.1109/IECON.2008.4758216(1736-1741)Online publication date: Nov-2008
https://doi.org/10.1109/IECON.2008.4758216
Spohn MSausen PSalvadori FCampos M(2008)Simulation of Blind Flooding over Wireless Sensor Networks Based on a Realistic Battery ModelProceedings of the Seventh International Conference on Networking10.1109/ICN.2008.100(545-550)Online publication date: 13-Apr-2008
https://dl.acm.org/doi/10.1109/ICN.2008.100
Sausen Pde Brito Sousa JSpohn MPerkusich ALima A(2008)Dynamic Power Management with Scheduled Switching ModesComputer Communications10.1016/j.comcom.2008.06.01931:15(3625-3637)Online publication date: 20-Sep-2008
https://dl.acm.org/doi/10.1016/j.comcom.2008.06.019
Sausen PSousa JSpohn MPerkusich ALima A(2007)Dynamic Power Management with Scheduled Switching Modes in Wireless Sensor NetworksProceedings of the 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems10.1109/MASCOTS.2007.20(1-8)Online publication date: 24-Oct-2007
https://dl.acm.org/doi/10.1109/MASCOTS.2007.20
Sausen PSousa JSpohn MPerkusich ALima A(2007)Exploring the Switching Energy Effect in a Dynamic Power Management Technique for Wireless Sensor NetworksIECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society10.1109/IECON.2007.4460116(2260-2265)Online publication date: Nov-2007
https://doi.org/10.1109/IECON.2007.4460116
Li DChou PJoyner WMartin GKahng A(2005)Application/architecture power co-optimization for embedded systems powered by renewable sourcesProceedings of the 42nd annual Design Automation Conference10.1145/1065579.1065742(618-623)Online publication date: 13-Jun-2005
https://dl.acm.org/doi/10.1145/1065579.1065742
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