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Participatory sensing: applications and architecture

Author:

Deborah L. EstrinAuthors Info & Claims

MobiSys '10: Proceedings of the 8th international conference on Mobile systems, applications, and services

Pages 3 - 4

https://doi.org/10.1145/1814433.1814435

Published: 15 June 2010 Publication History

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Abstract

Participatory sensing is the process whereby individuals and communities use ever-more-capable mobile phones and cloud services to collect and analyze systematic data for use in discovery. The convergence of technology and analytical innovation with a citizenry that is increasingly comfortable using mobile phones and online social networking sets the stage for this technology to dramatically impact many aspects of our daily lives.

Participatory sensing can serve as a powerful "make a case" technology to support advocacy and civic engagement. It can provide a framework in which citizens can bring to light a civic bottleneck, hazard, personal-safety concern, cultural asset, or other data relevant to urban and natural-resources planning and services, all using data that are systematic and can be validated (http://whatsinvasive.com.) The same systems can be used as tools for sustainability. For example, individuals and communities can explore their transportation and consumption habits and corporations can promote more sustainable practices among employees (http://peir.cens.ucla.edu and http://biketastic.com.)

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Kuo STseng FChou Y(2023)Metaverse intrusion detection of wormhole attacks based on a novel statistical mechanismFuture Generation Computer Systems10.1016/j.future.2023.01.017143(179-190)Online publication date: Jun-2023
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Li FLi XFu YZhao PLiu S(2021)A Secure and Privacy Preserving Incentive Mechainism for Vehicular Crowdsensing with Data Quality Assurance2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)10.1109/VTC2021-Fall52928.2021.9625317(1-5)Online publication date: Sep-2021
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Participatory sensing: applications and architecture

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Information

Published In

MobiSys '10: Proceedings of the 8th international conference on Mobile systems, applications, and services

June 2010

382 pages

ISBN:9781605589855

DOI:10.1145/1814433

General Chair:
Sujata Banerjee
Hewlett-Packard Labs., USA
,
Program Chairs:
Srinivasan Keshav
University of Waterloo, Ontario, Canada
,
Alec Wolman
Microsoft Research Redmond, USA

In-Cooperation

SIGOPS: ACM Special Interest Group on Operating Systems

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 June 2010

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Plenary-talk

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MobiSys'10

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SIGMOBILE

MobiSys'10: The 8th International Conference on Mobile Systems, Applications, and Services

June 15 - 18, 2010

California, San Francisco, USA

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Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Cited By

View all

Kuo STseng FChou Y(2023)Metaverse intrusion detection of wormhole attacks based on a novel statistical mechanismFuture Generation Computer Systems10.1016/j.future.2023.01.017143(179-190)Online publication date: Jun-2023
https://doi.org/10.1016/j.future.2023.01.017
Li FLi XFu YZhao PLiu S(2021)A Secure and Privacy Preserving Incentive Mechainism for Vehicular Crowdsensing with Data Quality Assurance2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)10.1109/VTC2021-Fall52928.2021.9625317(1-5)Online publication date: Sep-2021
https://doi.org/10.1109/VTC2021-Fall52928.2021.9625317
Yan CWang XLiu XLiu WLiu J(2020)Research on the UBI Car Insurance Rate Determination Model Based on the CNN-HVSVM AlgorithmIEEE Access10.1109/ACCESS.2020.30210628(160762-160773)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3021062
Wilson RGinige AGoonetillake JIndika W(2019)User Needs-driven Enrichment of OntologyProceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City10.1145/3377170.3377279(581-586)Online publication date: 20-Dec-2019
https://dl.acm.org/doi/10.1145/3377170.3377279
Yu RCao JLiu RGao WWang XLiang J(2019)Participant Incentive Mechanism Toward Quality-Oriented SensingACM Transactions on Sensor Networks10.1145/330370315:2(1-25)Online publication date: 11-Feb-2019
https://dl.acm.org/doi/10.1145/3303703
Li YZhao YGuo BZhang ZGeng QWang R(2019)An Extendable Layered Architecture for Collective Computing to Support Concurrent Multi-sourced Heterogeneous TasksMobile Networks and Applications10.1007/s11036-019-01331-6Online publication date: 9-Aug-2019
https://doi.org/10.1007/s11036-019-01331-6
Jiang HChen QZeng YLi DCaterino B(2019)Mobile Data Processing and Feature DiscoveryThe Practical Import of Political Inquiry10.1007/978-3-030-16503-1_2(5-52)Online publication date: 11-May-2019
https://doi.org/10.1007/978-3-030-16503-1_2
Li YZhao YZhang ZGeng QWang R(2018)A Collective Computing Architecture Supporting Heterogeneous Tasks and Computing DevicesCloud Computing and Security10.1007/978-3-030-00006-6_2(13-25)Online publication date: 1-Nov-2018
https://doi.org/10.1007/978-3-030-00006-6_2
Vergara-Laurens IJaimes LLabrador M(2017)Privacy-Preserving Mechanisms for Crowdsensing: Survey and Research ChallengesIEEE Internet of Things Journal10.1109/JIOT.2016.25942054:4(855-869)Online publication date: Aug-2017
https://doi.org/10.1109/JIOT.2016.2594205
Chen YLee GShu LCrespi N(2016)Industrial Internet of Things-Based Collaborative Sensing Intelligence: Framework and Research ChallengesSensors10.3390/s1602021516:2(215)Online publication date: 6-Feb-2016
https://doi.org/10.3390/s16020215
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