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A framework for data quality and feedback in participatory sensing

Authors:

Mani SrivastavaAuthors Info & Claims

SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems

Pages 417 - 418

https://doi.org/10.1145/1322263.1322324

Published: 06 November 2007 Publication History

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Abstract

The rapid adoption of mobile phones by society over the last decade and the increasing ability to capture, classifying, and transmit a wide variety of data (image, audio, and location) have enabled a new sensing paradigm - where humans carrying mobile phones can act as sensor systems. Human-in-the-loop sensor systems raise many new challenges in areas of sensor data quality assessment, mobility and sampling coordination, and user interaction procedures.

References

[1]

N. Eagle and A. Pentland. Reality mining: sensing complex social systems. Personal and Ubiq. Computing, 10(4):255--268, 2006.

Digital Library

Google Scholar

[2]

A. Pentland. Healthwear: medical technology becomes wearable. Computer, 37(5):42--49, 2004.

Digital Library

Google Scholar

[3]

J. Burke, D. Estrin, M. Hansen, A. Parker, N. Ramanathan, S. Reddy, and MB Srivastava. Participatory Sensing.

Google Scholar

[4]

A. Parker, S. Reddy, T. Schmid, K. Chang, G. Saurabh, M. Srivastava, M. Hansen, J. Burke, D. Estrin, M. Allman, et al. Network System Challenges in Selective Sharing and Verification for Personal, Social, and Urban-Scale Sensing Applications.

Google Scholar

[5]

A. T. Campbell, S. B. Eisenman, N. D. Lane, E. Miluzzo, and R. A. Peterson. People-centric urban sensing. IEEE WICON, 2006.

Digital Library

Google Scholar

Cited By

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Cruz BCheng JSong ZTilevich E(2020)Understanding the Potential of Edge-Based Participatory Sensing: an Experimental Study2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)10.1109/VTC2020-Spring48590.2020.9129084(1-5)Online publication date: May-2020
https://doi.org/10.1109/VTC2020-Spring48590.2020.9129084
Reinhardt DDürr F(2018)Opportunities and Risks of Delegating Sensing Tasks to the CrowdHandbook of Mobile Data Privacy10.1007/978-3-319-98161-1_6(129-165)Online publication date: 27-Oct-2018
https://doi.org/10.1007/978-3-319-98161-1_6
Nakayama YNakamura KSaito HFukumoto R(2017)A Web GIS Framework for Participatory Sensing Service: An Open Source-Based ImplementationGeosciences10.3390/geosciences70200227:2(22)Online publication date: 10-Apr-2017
https://doi.org/10.3390/geosciences7020022
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Index Terms

A framework for data quality and feedback in participatory sensing
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles

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Information

Published In

SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems

November 2007

455 pages

ISBN:9781595937636

DOI:10.1145/1322263

General Chair:
Sanjay Jha
University of New South Wales, Australia

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2007

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SenSys07

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SenSys07: The 5th ACM Conference on Embedded Network Sensor Systems

November 6 - 9, 2007

Sydney, Australia

Acceptance Rates

SenSys '07 Paper Acceptance Rate 25 of 149 submissions, 17%;

Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

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Cruz BCheng JSong ZTilevich E(2020)Understanding the Potential of Edge-Based Participatory Sensing: an Experimental Study2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)10.1109/VTC2020-Spring48590.2020.9129084(1-5)Online publication date: May-2020
https://doi.org/10.1109/VTC2020-Spring48590.2020.9129084
Reinhardt DDürr F(2018)Opportunities and Risks of Delegating Sensing Tasks to the CrowdHandbook of Mobile Data Privacy10.1007/978-3-319-98161-1_6(129-165)Online publication date: 27-Oct-2018
https://doi.org/10.1007/978-3-319-98161-1_6
Nakayama YNakamura KSaito HFukumoto R(2017)A Web GIS Framework for Participatory Sensing Service: An Open Source-Based ImplementationGeosciences10.3390/geosciences70200227:2(22)Online publication date: 10-Apr-2017
https://doi.org/10.3390/geosciences7020022
Cheng LNiu JKong LLuo CGu YHe WDas S(2017)Compressive sensing based data quality improvement for crowd-sensing applicationsJournal of Network and Computer Applications10.1016/j.jnca.2016.10.00477:C(123-134)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1016/j.jnca.2016.10.004
Chang YParuthi GWu HLin HNewman M(2017)An investigation of using mobile and situated crowdsourcing to collect annotated travel activity data in real-word settingsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2016.11.001102:C(81-102)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1016/j.ijhcs.2016.11.001
Huang YZimmerman JTomasic ASteinfeld APaternò FVäänänen KChurch KHäkkilä JKrüger ASerrano M(2016)Combining contribution interactions to increase coverage in mobile participatory sensing systemsProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/2935334.2935387(365-376)Online publication date: 6-Sep-2016
https://dl.acm.org/doi/10.1145/2935334.2935387
Han KZhang CLuo J(2016)Taming the uncertaintyIEEE/ACM Transactions on Networking10.1109/TNET.2015.241819124:3(1462-1475)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1109/TNET.2015.2418191
Hu MChe WZhang QLuo QLin H(2015)A Multi-Stage Method for Connecting Participatory Sensing and Noise SimulationsSensors10.3390/s15020226515:2(2265-2282)Online publication date: 22-Jan-2015
https://doi.org/10.3390/s150202265
Feldman DSung CSugaya ARus D(2015)iDiaryACM Transactions on Sensor Networks10.1145/281456911:4(1-41)Online publication date: 23-Oct-2015
https://dl.acm.org/doi/10.1145/2814569
Chang YParuthi GNewman MMase KLangheinrich MGatica-Perez DGellersen HChoudhury TYatani K(2015)A field study comparing approaches to collecting annotated activity data in real-world settingsProceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2750858.2807524(671-682)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2750858.2807524
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