Energy-synchronized computing for sustainable sensor networks

Ting Zhu, Ziguo Zhong, Tian He, Zhi Li Zhang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

To ensure sustainable operations of wireless sensor systems, environmental energy harvesting has been regarded as one of the most fundamental solutions for long-term applications. In energy-dynamic environments, energy conservation is no longer considered necessarily beneficial, because energy storage units (e.g., batteries or capacitors) are limited in capacity and leakage-prone. In contrast to legacy energy conservation approaches, we aim at energy-synchronized computing for wireless sensor devices. The starting point of this work is TwinStar, which uses ultra-capacitor as the only energy storage unit. To efficiently use the harvested energy, we design and implement leakage-aware feedback control techniques to match the activities of sensor nodes with dynamic energy supply from environments. We conduct system evaluation under both indoor and outdoor typical real-world settings. Results indicate our leakage-aware energy-synchronized control can effectively utilize energy that could otherwise leak away.

Original languageEnglish (US)
Pages (from-to)1392-1404
Number of pages13
JournalAd Hoc Networks
Volume11
Issue number4
DOIs
StatePublished - Jun 2013

Bibliographical note

Funding Information:
This work was supported in part by NSF Grants CNS-0845994, CNS-0917097, CNS-0720465, and #1019343 to CRA for the CI Fellows Project. We also received partial support from InterDigital and Microsoft Research.

Keywords

  • Energy
  • Sustainable
  • Wireless sensor networks

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