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Leakage-aware energy synchronization for wireless sensor networks
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International Conference On Mobile Systems, Applications And Services archive
Proceedings of the 7th international conference on Mobile systems, applications, and services table of contents
Kraków, Poland
SESSION: Power management and optimization table of contents
Pages 319-332  
Year of Publication: 2009
ISBN:978-1-60558-566-6
Authors
Ting Zhu  University of Minnesota, Minneapolis, MN, USA
Ziguo Zhong  University of Minnesota, Minneapolis, MN, USA
Yu Gu  University of Minnesota, Minneapolis, MN, USA
Tian He  University of Minnesota, Minneapolis, MN, USA
Zhi-Li Zhang  University of Minnesota, Minneapolis, MN, USA
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

To ensure sustainable operations of wireless sensor systems, environmental energy harvesting has been regarded as the right solution for long-term applications. In energy-dynamic environments, energy conservation is no longer considered necessarily beneficial, because energy storage units (e.g., batteries or capacitors) are limited in capacity and leakage-prone. In contrast to legacy energy conservation approaches, we aim at energy synchronization for wireless sensor devices. The starting point of this work is TwinStar, which uses ultra-capacitor as the only energy storage unit. To efficiently use the harvested energy, we design and implement leakage-aware feedback control techniques to match local and network-wide activity of sensor nodes with the dynamic energy supply from environments. We conduct system evaluation under three typical real-world settings - indoor, outdoor, and mobile backpack under a wide range of system settings. Results indicate our leakage-aware control can effectively utilize energy that could otherwise leak away. Nodes running leakage-aware control can enjoy 70% more energy than the ones running non-leakage-aware control and application performance (e.g., event detection) can be improved significantly.


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.

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Collaborative Colleagues:
Ting Zhu: colleagues
Ziguo Zhong: colleagues
Yu Gu: colleagues
Tian He: colleagues
Zhi-Li Zhang: colleagues