AdaptSens: An adaptive data collection and storage service for solar-powered sensor networks

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings - Real-Time Systems Symposium, RTSS 2009
Pages303-312
Number of pages10
DOIs
StatePublished - Dec 1 2009
EventReal-Time Systems Symposium, RTSS 2009 - Washington, D.C., United States
Duration: Dec 1 2009Dec 4 2009

Publication series

NameProceedings - Real-Time Systems Symposium
ISSN (Print)1052-8725

Other

OtherReal-Time Systems Symposium, RTSS 2009
CountryUnited States
CityWashington, D.C.
Period12/1/0912/4/09

Fingerprint

Sensor networks
Testbeds
Energy storage
Energy conservation
Chemical activation

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Wang, L., Yang, Y., Noh, D. K., Le, H. K., Liu, J., Abdelzaher, T. F., & Ward, M. (2009). AdaptSens: An adaptive data collection and storage service for solar-powered sensor networks. In Proceedings - Real-Time Systems Symposium, RTSS 2009 (pp. 303-312). [5368156] (Proceedings - Real-Time Systems Symposium). https://doi.org/10.1109/RTSS.2009.8

AdaptSens : An adaptive data collection and storage service for solar-powered sensor networks. / Wang, Lili; Yang, Yong; Noh, Dong Kun; Le, Hieu K.; Liu, Jie; Abdelzaher, Tarek F.; Ward, Michael.

Proceedings - Real-Time Systems Symposium, RTSS 2009. 2009. p. 303-312 5368156 (Proceedings - Real-Time Systems Symposium).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, L, Yang, Y, Noh, DK, Le, HK, Liu, J, Abdelzaher, TF & Ward, M 2009, AdaptSens: An adaptive data collection and storage service for solar-powered sensor networks. in Proceedings - Real-Time Systems Symposium, RTSS 2009., 5368156, Proceedings - Real-Time Systems Symposium, pp. 303-312, Real-Time Systems Symposium, RTSS 2009, Washington, D.C., United States, 12/1/09. https://doi.org/10.1109/RTSS.2009.8
Wang L, Yang Y, Noh DK, Le HK, Liu J, Abdelzaher TF et al. AdaptSens: An adaptive data collection and storage service for solar-powered sensor networks. In Proceedings - Real-Time Systems Symposium, RTSS 2009. 2009. p. 303-312. 5368156. (Proceedings - Real-Time Systems Symposium). https://doi.org/10.1109/RTSS.2009.8
Wang, Lili ; Yang, Yong ; Noh, Dong Kun ; Le, Hieu K. ; Liu, Jie ; Abdelzaher, Tarek F. ; Ward, Michael. / AdaptSens : An adaptive data collection and storage service for solar-powered sensor networks. Proceedings - Real-Time Systems Symposium, RTSS 2009. 2009. pp. 303-312 (Proceedings - Real-Time Systems Symposium).
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