Predicting battery depletion of neighboring wireless sensor nodes

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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 energy inference 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. 13th international conference, ICA3PP 2013, Vietri sur Mare, Italy, December 13. Proceedings, Part II
Place of PublicationBerlin
PublisherSpringer
Pages276-284
VolumeII
ISBN (Print)978-3-319-03888-9
DOIs
Publication statusPublished - 2013
Eventconference; The 2013 International Workshop on Cloud-assisted Smart Cyber-Physical Systems (C-SmartCPS), jointly held with ICA3PP-2013 and UIC-2013, Vietri sul Mare, Italy.; 2013-12-18; 2013-12-20 -
Duration: 18 Dec 201320 Dec 2013

Publication series

NameLecture Notes in Computer Science
Volume8286
ISSN (Print)0302-9743

Conference

Conferenceconference; The 2013 International Workshop on Cloud-assisted Smart Cyber-Physical Systems (C-SmartCPS), jointly held with ICA3PP-2013 and UIC-2013, Vietri sul Mare, Italy.; 2013-12-18; 2013-12-20
Period18/12/1320/12/13
OtherThe 2013 International Workshop on Cloud-assisted Smart Cyber-Physical Systems (C-SmartCPS), jointly held with ICA3PP-2013 and UIC-2013, Vietri sul Mare, Italy.

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