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