Scheduling recurring tasks in energy harvesting sensors

David Audet, Leandro Collares De Oliveira, Neil MacMillan, Dimitri Marinakis, Kui Wu

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

23 Citations (Scopus)

Abstract

We consider the problem of periodic task scheduling in sensor nodes powered with energy harvesters. In particular, we focus on systems with stochastic energy sources such as solar panels, and we present two energy-aware scheduling algorithms that reduce the likelihood of task violations. Our algorithms, called Smooth to Average Method (STAM) and Smooth to Full Utilization (STFU), are static schedulers that do not require prescience of the incoming energy to operate effectively. © 2011 IEEE.
Original languageEnglish
Title of host publication2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011
Pages277-282
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011 - Shanghai, China
Duration: 10 Apr 201115 Apr 2011

Publication series

Name2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011

Conference

Conference2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011
Country/TerritoryChina
CityShanghai
Period10/04/1115/04/11

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Energy Harvester
  • Real-Time Scheduling
  • Recurring Tasks
  • Sensors

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