Article

Confidence-based data management for personal area sensor networks

Authors:

Stan ZdonikAuthors Info & Claims

DMSN '04: Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004

Pages 24 - 31

https://doi.org/10.1145/1052199.1052204

Published: 01 August 2004 Publication History

Abstract

The military is working on embedding sensors in a "smart uniform" that will monitor key biological parameters to determine the physiological status of a soldier. The soldier's status can only be determined accurately by combining the readings from several sensors using sophisticated physiological models. Unfortunately, the physical environment and the low-bandwidth, push-based personal-area network (PAN) introduce uncertainty in the inputs to the models. Thus the model must produce a confidence level as well as a physiological status value. This paper explores how confidence levels can be used to influence data management decisions. In particular, we look at power-efficient ways to keep the confidence above a given threshold. We also contrast push-based broadcast schedules with other schedules that are made possible by two-way communication.

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Katsaggelos ABahaadini SMolina R(2015)Audiovisual Fusion: Challenges and New ApproachesProceedings of the IEEE10.1109/JPROC.2015.2459017103:9(1635-1653)Online publication date: Sep-2015
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Published In

cover image ACM Other conferences

DMSN '04: Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004

August 2004

124 pages

ISBN:9781450377959

DOI:10.1145/1052199

Program Chairs:
Alexandros Labrinidis
Univeristy of Pittsburgh
,
Samuel Madden
MIT

Copyright © 2004 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 August 2004

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Overall Acceptance Rate 6 of 16 submissions, 38%

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Barteit SBoudo VOuedraogo AZabré POuremi LSié AMunga SObor DKwaro DHuhn SBunker ASauerborn RGunga HMaggioni MBärnighausen T(2021)Feasibility, acceptability and validation of wearable devices for climate change and health research in the low-resource contexts of Burkina Faso and Kenya: Study protocolPLOS ONE10.1371/journal.pone.025717016:9(e0257170)Online publication date: 30-Sep-2021
https://doi.org/10.1371/journal.pone.0257170
Katsaggelos ABahaadini SMolina R(2015)Audiovisual Fusion: Challenges and New ApproachesProceedings of the IEEE10.1109/JPROC.2015.2459017103:9(1635-1653)Online publication date: Sep-2015
https://doi.org/10.1109/JPROC.2015.2459017
Amdouni SBarhamgi MBenslimane DFaiz R(2014)Handling Uncertainty in Data Services CompositionProceedings of the 2014 IEEE International Conference on Services Computing10.1109/SCC.2014.91(653-660)Online publication date: 27-Jun-2014
https://dl.acm.org/doi/10.1109/SCC.2014.91
Ge TDekhtyar AGoldsmith J(2013)Uncertain Data: Representations, Query Processing, and ApplicationsAdvances in Probabilistic Databases for Uncertain Information Management10.1007/978-3-642-37509-5_4(67-108)Online publication date: 2013
https://doi.org/10.1007/978-3-642-37509-5_4
Lin KChen MRodrigues JGe H(2012)System Design and Data Fusion in Body Sensor NetworksTelemedicine and E-Health Services, Policies, and Applications10.4018/978-1-4666-0888-7.ch001(1-25)Online publication date: 2012
https://doi.org/10.4018/978-1-4666-0888-7.ch001
Cardell-Oliver RLiu W(2010)Representation and recognition of situations in sensor networksIEEE Communications Magazine10.1109/MCOM.2010.543438248:3(112-117)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1109/MCOM.2010.5434382
Atrey PHossain MEl Saddik AKankanhalli M(2010)Multimodal fusion for multimedia analysisMultimedia Systems10.1007/s00530-010-0182-016:6(345-379)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1007/s00530-010-0182-0
Ge TZdonik SMadden SÇetintemel UZdonik SKossmann D(2009)Top-k queries on uncertain dataProceedings of the 2009 ACM SIGMOD International Conference on Management of data10.1145/1559845.1559886(375-388)Online publication date: 29-Jun-2009
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Hossain MAtrey PEl Saddik A(2009)Learning Multisensor Confidence Using a Reward-and-Punishment MechanismIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2009.201450758:5(1525-1534)Online publication date: May-2009
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Sriram JShin MKotz DRajan ASastry MYarvis M(2009)Challenges in Data Quality Assurance in Pervasive Health Monitoring SystemsFuture of Trust in Computing10.1007/978-3-8348-9324-6_14(129-142)Online publication date: 2009
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