DocumentCode :
2470858
Title :
Harvesting aware power management for sensor networks
Author :
Kansal, Aman ; Hsu, Jason ; Srivastava, Mani ; Raqhunathan, V.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA
fYear :
0
fDate :
0-0 0
Firstpage :
651
Lastpage :
656
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
Keywords :
direct energy conversion; energy conservation; wireless sensor networks; energy harvesting sensor networks; energy-neutral operation; power management; power scaling; residual battery capacity; spatio-temporal energy availability; workload allocation; Availability; Battery management systems; Biosensors; Computer networks; Energy consumption; Energy management; Energy storage; Power system management; Sensor phenomena and characterization; Sensor systems; Algorithms; Design; Energy harvesting; Heliomote; Measurement; Performance; Power management; Power scaling; Theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2006 43rd ACM/IEEE
Conference_Location :
San Francisco, CA
ISSN :
0738-100X
Print_ISBN :
1-59593-381-6
Type :
conf
DOI :
10.1109/DAC.2006.229276
Filename :
1688877
Link To Document :
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