demonstration

SVD-based hierarchical data gathering for environmental monitoring

Authors:

Futoshi NayaAuthors Info & Claims

UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

Pages 9 - 12

https://doi.org/10.1145/2494091.2494095

Published: 08 September 2013 Publication History

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Abstract

We introduce a new data compression method for efficient data gathering in hierarchical sensor networks. Our proposed method compresses sensor data sequences by decomposing them into local patterns and weight variables using Singular Value Decomposition (SVD). Our proposed method can achieve efficient data gathering for environmental monitoring.

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Papadimitriou, S. and Yu, P.: Optimal multi-scale patterns in time series streams, Proc. of ACM SIGMOD 2006, pp.647--658 (2006).

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Wu, X. and Liu, M.: In-situ soil moisture sensing: measurement scheduling and estimation using compressive sensing, Proc. of IPSN '12, pp. 1--12 (2012).

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Cited By

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Chatzistavros EStamatelos G(2015)Performance Evaluation of IEEE 802.15.4 Sensor Chains in an Integrated Water Monitoring FrameworkWireless Personal Communications: An International Journal10.1007/s11277-015-2601-184:1(167-179)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1007/s11277-015-2601-1
Mao HWu CPapalexakis EFaloutsos CLee KKao T(2014)MalSpot: Multi2 Malicious Network Behavior Patterns AnalysisAdvances in Knowledge Discovery and Data Mining10.1007/978-3-319-06608-0_1(1-14)Online publication date: 2014
https://doi.org/10.1007/978-3-319-06608-0_1

Index Terms

SVD-based hierarchical data gathering for environmental monitoring
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

September 2013

1608 pages

ISBN:9781450322157

DOI:10.1145/2494091

General Chairs:
Friedemann Mattern
ETH Zurich, CH
,
Silvia Santini
TU Darmstadt, DE
,
Program Chairs:
John F. Canny
UC Berkeley, US
,
Marc Langheinrich
Università della Svizzera italiana, CH
,
Jun Rekimoto
University of Tokyo, JP

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGSPATIAL: ACM Special Interest Group on Spatial Information

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2013

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Author Tag

sensor networks

Qualifiers

Demonstration

Conference

UbiComp '13

Sponsor:

SIGMOBILE
University of Florida
SIGCHI

UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 8 - 12, 2013

Zurich, Switzerland

Acceptance Rates

UbiComp '13 Adjunct Paper Acceptance Rate 254 of 399 submissions, 64%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

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Chatzistavros EStamatelos G(2015)Performance Evaluation of IEEE 802.15.4 Sensor Chains in an Integrated Water Monitoring FrameworkWireless Personal Communications: An International Journal10.1007/s11277-015-2601-184:1(167-179)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1007/s11277-015-2601-1
Mao HWu CPapalexakis EFaloutsos CLee KKao T(2014)MalSpot: Multi2 Malicious Network Behavior Patterns AnalysisAdvances in Knowledge Discovery and Data Mining10.1007/978-3-319-06608-0_1(1-14)Online publication date: 2014
https://doi.org/10.1007/978-3-319-06608-0_1

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