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Demo: In-situ power consumption meter for sensor networks supporting extreme dynamic range

  • Giannis Kazdaridis
  • , Ioannis Zographopoulos
  • , Polychronis Symeonidis
  • , Panagiotis Skrimponis
  • , Thanasis Korakis
  • , Leandros Tassiulas
  • University of Thessaly
  • Yale University

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

Abstract

Typical wireless sensor devices feature an extreme power consumption range between their active and sleep states, thus requiring different hardware setups for measuring their expenditure with high accuracy. In this demo paper we present the NITOS dynamic ACM, an in-situ power meter that exploits auto-ranging methods to support high dynamic currents. Our implementation features 250 kSps of sampling rate, while attaining high precision in both the active and sleep states of the targeted device, by using two different shunt resistors that are alternated automatically with the aid of a high speed comparator. The acquired results indicate the smooth performance of our system as well as the high accuracy attained.

Original languageEnglish
Title of host publicationWiNTECH 2017 - Proceedings of the 11th Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, co-located with MobiCom 2017
PublisherAssociation for Computing Machinery, Inc
Pages97-98
Number of pages2
ISBN (Electronic)9781450351478
DOIs
StatePublished - Oct 20 2017
Event11th Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, WiNTECH 2017 - Snowbird, United States
Duration: Oct 20 2017 → …

Publication series

NameWiNTECH 2017 - Proceedings of the 11th Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, co-located with MobiCom 2017

Conference

Conference11th Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, WiNTECH 2017
Country/TerritoryUnited States
CitySnowbird
Period10/20/17 → …

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

Keywords

  • Energy Efficiency
  • Power Consumption Monitoring
  • Wireless Sensor Networks

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