• DocumentCode
    2894949
  • Title

    AdaptSens: An Adaptive Data Collection and Storage Service for Solar-Powered Sensor Networks

  • Author

    Wang, Lili ; Yang, Yong ; Noh, Dong Kun ; Le, Hieu K. ; Liu, Jie ; Abdelzaher, Tarek F. ; Ward, Michael

  • Author_Institution
    Sch. of Comput. Sci., Beihang Univ., Beijing, China
  • fYear
    2009
  • fDate
    1-4 Dec. 2009
  • Firstpage
    303
  • Lastpage
    312
  • Abstract
    In this paper, we present AdaptSens: a reliable data collection and storage system for solar-powered sensor networks. Unlike battery-operated devices, solar-powered systems have a less predictable energy supply and their ability to harvest energy depends on past spending, thereby creating incentives for adaptive matching of energy supply and demand. Our storage system is novel in its layered architecture and its incremental layer activation mechanism. AdaptSens provides a set of functions, in separate layers, such as sensory data collection, replication (to prevent failure-induced data loss), and storage balancing (to prevent depletion-induced data loss). The mechanism utilizes surplus energy when available by activating more layers, and resorts to progressively more energy-efficient (partial hibernation) modes when energy is scarce. Best reliability is achieved when all layers are active but meaningful intermediate modes allow different degrees of energy conservation. The efficacy of AdaptSens in trading off reliability for energy is tested on both an outdoor system and an indoor testbed. Evaluation results show that AdaptSens minimizes the sum of all data losses when combining the energy, storage and node failure factors.
  • Keywords
    storage management; wireless sensor networks; AdaptSens; adaptive data collection; data storage service; solar-powered sensor network; storage balancing; Batteries; Computer network reliability; Computer networks; Computer science; Energy storage; Load management; Real time systems; Sensor systems; System testing; USA Councils; adaptation; reliable storage; solar-powered sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real-Time Systems Symposium, 2009, RTSS 2009. 30th IEEE
  • Conference_Location
    Washington, DC
  • ISSN
    1052-8725
  • Print_ISBN
    978-0-7695-3875-4
  • Type

    conf

  • DOI
    10.1109/RTSS.2009.8
  • Filename
    5368156