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Harvesting aware power management for sensor networks
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 43rd annual Design Automation Conference table of contents
San Francisco, CA, USA
SESSION: Session 37: special session: beyond low-power design: environmental energy harvesting table of contents
Pages: 651 - 656  
Year of Publication: 2006
ISBN:1-59593-381-6
Authors
Aman Kansal  UC Los Angeles, CA
Jason Hsu  UC Los Angeles, CA
Mani Srivastava  UC Los Angeles, CA
Vijay Raghunathan  NEC Labs America, Princeton, NJ
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 29,   Downloads (12 Months): 133,   Citation Count: 8
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ABSTRACT

Energy harvesting offers a promising alternative to solve the sustainability limitations arising from battery size constraints in sensor networks. Several considerations in using an environmental energy source are fundamentally different from using batteries. Rather than a limit on the total energy, harvesting transducers impose a limit on the instantaneous power available. Further, environmental energy availability is often highly variable and a deterministic metric such as residual battery capacity is not available to characterize the energy source. The different nodes in a sensor network may also have different energy harvesting opportunities. Since the same end-user performance may be achieved using different workload allocations at multiple nodes, it is important to adapt the workload allocation to the spatio-temporal energy availability profile in order to enable energy-neutral operation of the network. This paper describes power management techniques for such energy harvesting sensor networks. Platform design considerations as well as power scaling techniques at the node-level and network-level are described.


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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A. Kansal, J. Hsu, S. Zahedi, and M. B. Srivastava. Power management in energy harvesting sensor networks. Technical Report TR-UCLA-NESL-200603-02, Networked and Embedded Systems Laboratory, UCLA, March 2006.
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CITED BY  8

Collaborative Colleagues:
Aman Kansal: colleagues
Jason Hsu: colleagues
Mani Srivastava: colleagues
Vijay Raghunathan: colleagues