Minimum variance energy allocation for a solar-powered sensor system

Dong Kun Noh, Lili Wang, Yong Yang, Hieu Khac Le, Tarek Abdelzaher

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

Abstract

Using solar power in wireless sensor networks (WSNs) requires adaptation to a highly varying energy supply. From an application's perspective, however, it is often preferred to operate at a constant quality level as opposed to changing application behavior frequently. Reconciling the varying supply with the fixed demand requires good tools for predicting supply such that its average is computed and demand is fixed accordingly. In this paper, we describe a probabilistic observation-based model for harvested solar energy, which accounts for both long-term tendencies and temporary environmental conditions. Based on this model, we develop a time-slot-based energy allocation scheme to use the periodically harvested solar energy optimally, while minimizing the variance in energy allocation. Our algorithm is tested on both outdoor and indoor testbeds, demonstrating the efficacy of the approach.

Original languageEnglish (US)
Title of host publicationDistributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings
Pages44-57
Number of pages14
DOIs
StatePublished - 2009
Event5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009 - Marina del Rey, CA, United States
Duration: Jun 8 2009Jun 10 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5516 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009
CountryUnited States
CityMarina del Rey, CA
Period6/8/096/10/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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