Predicting battery depletion of neighboring wireless sensor nodes

Roshan Kotian, Georgios Exarchakos, Decebal Constantin Mocanu, Antonio Liotta

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

With a view to prolong the duration of the wireless sensor network, many battery lifetime prediction algorithms run on individual nodes. If not properly designed, this approach may be detrimental and even accelerate battery depletion. Herein, we provide a comparative analysis of various machine-learning algorithms to offload the energyinference task to the most energy-rich nodes, to alleviate the nodes that are entering the critical state. Taken to its extreme, our approach may be used to divert the energy-intensive tasks to a monitoring station, enabling a cloud-based approach to sensor network management. Experiments conducted in a controlled environment with real hardware have shown that RSSI can be used to infer the state of a remote wireless node once it is approaching the cutoff point. The ADWIN algorithm was used for smoothing the input data and for helping a variety of machine learning algorithms particularly to speed up and improve their prediction accuracy

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing
Subtitle of host publication13th International Conference, ICA3PP 2013, Vietri sul Mare, Italy, December 18-20, 2013, Proceedings
EditorsRocco Aversa, Joanna Kołodziej, Jun Zhang, Flora Amato, Giancarlo Fortino
Place of PublicationCham
PublisherSpringer
Pages276-284
Number of pages9
VolumePart II
ISBN (Electronic)978-3-319-03889-6
ISBN (Print)978-3-319-03888-9
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event13th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2013 - Vietri sul Mare, Italy
Duration: 18 Dec 201320 Dec 2013
Conference number: 13

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume8286
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2013
Abbreviated titleICA3PP
CountryItaly
CityVietri sul Mare
Period18/12/1320/12/13

Keywords

  • Sensor network
  • Sensor node
  • Wireless Sensor Network (WSN)
  • Sink node
  • Machine learning algorithm

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