• 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