Joint management of energy harvesting, storage, and usage for green wireless sensor networks

Xi Jin, Fanxin Kong, Peng Zeng, Qingxu Deng, Huiting Xu

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Recently, energy harvesting has been emerging as a promising technique to prolong the lifetime for wireless sensor nodes. Most existing efforts address the design of energy harvesting and sensor node subsystem separately or ignore some real-world constraints. In this paper, we study how to codesign the two subsystems and how to jointly manage energy harvesting, storage, and usage. We first propose a novel system architecture for energy harvesting which employs several supercapacitors to eliminate the conflicts on charging and discharging among different system components. Then, we present a method to schedule their charging and discharging, which is proved to be able to guarantee zero waste of the harvested energy if the battery is not full. Third, we propose an optimal algorithm to minimize different components' capacity and two heuristic algorithms to maximize the system reward. We conduct extensive experiments based on real-life data traces. Results show that the proposed system architecture can harvest more energy compared to the state of the art, and the capacity optimization algorithm can choose the most suitable size for each system component.

Original languageEnglish (US)
Article number250236
JournalInternational Journal of Distributed Sensor Networks
Volume2014
DOIs
StatePublished - 2014
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Networks and Communications

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