research-article

Free access

The case for cloud-enabled mobile sensing services

Authors:

Sougata Sen,

Archan Misra,

Rajesh Balan,

Lipyeow LimAuthors Info & Claims

MCC '12: Proceedings of the first edition of the MCC workshop on Mobile cloud computing

Pages 53 - 58

https://doi.org/10.1145/2342509.2342521

Published: 17 August 2012 Publication History

PDF eReader

Abstract

We make the case for cloud-enabled mobile sensing services that support an emerging application class, one which infers near-real time collective context using sensor data obtained continuously from a large set of consumer mobile devices. We present the high-level architecture and functional requirements for such a mobile sensing service, and argue that such a service can significantly improve the scalability and energy-efficiency of large-scale mobile sensing by coordinating the sensing & processing tasks across multiple devices. We then focus specifically on the problem of energy-efficiency and provide early exemplars of how optimizing query execution jointly over multiple phones can lead to substantial energy savings.

References

[1]

PowerTutor: A Power Monitor for Android-Based Mobile Platforms. http://ziyang.eecs.umich.edu/projects/powertutor/.

Google Scholar

[2]

Balan, R. K., Gergle, D., Satyanarayanan, M., and Herbsleb, J. D. Simplifying cyber foraging for mobile devices. ACM MobiSys, 2007.

Digital Library

Google Scholar

[3]

Chu et. al, D. Balancing Energy, Latency and Accuracy for Mobile Sensor Data Classification. ACM Sensys '11, pages 54--67, 2011.

Digital Library

Google Scholar

[4]

Lu, H., Yang, J., Liu, Z., Lane, N. D., Choudhury, T., and Campbell, A. T. The jigsaw continuous sensing engine for mobile phone applications. ACM Sensys, 2010.

Digital Library

Google Scholar

[5]

McDaniel, P. On context in authorization policy. ACM SACMAT, 2003.

Digital Library

Google Scholar

[6]

Miluzzo, E., Cornelius, C., Ramaswamy, A., Choudhury, T., Liu, Z., and Campbell, A. T. Darwin phones: the evolution of sensing and inference on mobile phones. ACM MobiSys, 2010.

Digital Library

Google Scholar

[7]

Misra, A. and Lim, L. Optimizing Sensor Data Acquisition for Energy-Efficient Smartphone-based Continuous Event Processing. IEEE MDM, 2011.

Digital Library

Google Scholar

[8]

Vallina-Rodriguez, N. and Crowcroft, J. Erdos: Achieving energy savings in mobile os. ACM MobiArch, 2011.

Digital Library

Google Scholar

[9]

Wang, Y., Lin, J., Annavaram, M., Jacobson, Q., Hong, J. I., Krishnamachari, B., and Sadeh, N. M. A framework of energy efficient mobile sensing for automatic user state recognition. ACM MobiSys, 2009.

Digital Library

Google Scholar

[10]

Xiao, Y., Hui, P., and Savolainen, P. Cascap: Cloud-assisted context aware power management for mobile devices. ACM MCS, 2011.

Digital Library

Google Scholar

Cited By

View all

Malhotra SMatta PKukreti S(2022)Efficient Energy Consumption Techniques for Cloud and IoT Systems2022 IEEE Delhi Section Conference (DELCON)10.1109/DELCON54057.2022.9753388(1-7)Online publication date: 11-Feb-2022
https://doi.org/10.1109/DELCON54057.2022.9753388
Bale AGupta APrajwal RManoj RMahesh Gowda MAditya Khatokar JRamasamy A(2021)Mobile Cloud Computing - Enabling Technologies and Applications2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)10.1109/ISPCC53510.2021.9609344(491-496)Online publication date: 7-Oct-2021
https://doi.org/10.1109/ISPCC53510.2021.9609344
Patel PDave DSolanki KModi K(2021)Improving Cloud Integrated Sensor Network Architecture, Applications & Challenges2021 5th International Conference on Computing Methodologies and Communication (ICCMC)10.1109/ICCMC51019.2021.9418370(102-108)Online publication date: 8-Apr-2021
https://doi.org/10.1109/ICCMC51019.2021.9418370
Show More Cited By

Index Terms

The case for cloud-enabled mobile sensing services
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

Recommendations

An integrated cloud-based framework for mobile phone sensing
MCC '12: Proceedings of the first edition of the MCC workshop on Mobile cloud computing

Nowadays mobile phones are not only communication devices, but also a source of rich sensory data that can be collected and exploited by distributed people-centric sensing applications. Among them, environmental monitoring and emergency response systems ...
Collaborative opportunistic sensing with mobile phones
UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

Mobile phones include a variety of sensors that can be used to develop context-aware applications and gather data about the user's behavior, including the places he visits, his level of activity and how frequently and with whom he socializes. The ...
Cloud-Based Query Evaluation for Energy-Efficient Mobile Sensing
MDM '14: Proceedings of the 2014 IEEE 15th International Conference on Mobile Data Management - Volume 01

In this paper, we reduce the energy overheads of continuous mobile sensing for context-aware applications that are interested in collective context or events. We propose a cloud-based query management and optimization framework, called CloQue, which can ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

MCC '12: Proceedings of the first edition of the MCC workshop on Mobile cloud computing

August 2012

72 pages

ISBN:9781450315197

DOI:10.1145/2342509

Program Chairs:
Mario Gerla
UCLA, USA
,
Dijiang Huang
Arizona State University, USA

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SIGCOMM '12

Sponsor:

SIGCOMM

SIGCOMM '12: ACM SIGCOMM 2012 Conference

August 17, 2012

Helsinki, Finland

Acceptance Rates

Overall Acceptance Rate 10 of 24 submissions, 42%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
380
Total Downloads

Downloads (Last 12 months)57
Downloads (Last 6 weeks)10

Reflects downloads up to 24 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Malhotra SMatta PKukreti S(2022)Efficient Energy Consumption Techniques for Cloud and IoT Systems2022 IEEE Delhi Section Conference (DELCON)10.1109/DELCON54057.2022.9753388(1-7)Online publication date: 11-Feb-2022
https://doi.org/10.1109/DELCON54057.2022.9753388
Bale AGupta APrajwal RManoj RMahesh Gowda MAditya Khatokar JRamasamy A(2021)Mobile Cloud Computing - Enabling Technologies and Applications2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)10.1109/ISPCC53510.2021.9609344(491-496)Online publication date: 7-Oct-2021
https://doi.org/10.1109/ISPCC53510.2021.9609344
Patel PDave DSolanki KModi K(2021)Improving Cloud Integrated Sensor Network Architecture, Applications & Challenges2021 5th International Conference on Computing Methodologies and Communication (ICCMC)10.1109/ICCMC51019.2021.9418370(102-108)Online publication date: 8-Apr-2021
https://doi.org/10.1109/ICCMC51019.2021.9418370
Distefano SMerlino GPuliafito A(2018)A utility paradigm for IoTPervasive and Mobile Computing10.1016/j.pmcj.2014.09.00620:C(127-144)Online publication date: 24-Dec-2018
https://dl.acm.org/doi/10.1016/j.pmcj.2014.09.006
Mo TLim LSen SMisra ABalan RLee Y(2017)Cloud-based query evaluation for energy-efficient mobile sensingPervasive and Mobile Computing10.1016/j.pmcj.2016.12.00538(257-274)Online publication date: Jul-2017
https://doi.org/10.1016/j.pmcj.2016.12.005
Loke SLoke S(2017)Scalable Context-AwarenessCrowd-Powered Mobile Computing and Smart Things10.1007/978-3-319-54436-6_4(39-46)Online publication date: 28-Feb-2017
https://doi.org/10.1007/978-3-319-54436-6_4
Cieplak TMuryjas P(2015)Introduction to Basic Integration of Measurement Devices with Cloud Computing ServicesApplied Mechanics and Materials10.4028/www.scientific.net/AMM.791.34791(34-41)Online publication date: Sep-2015
https://doi.org/10.4028/www.scientific.net/AMM.791.34
Agarwal VBanerjee NChakraborty DMittal S(2013)USense -- A Smartphone Middleware for Community SensingProceedings of the 2013 IEEE 14th International Conference on Mobile Data Management - Volume 0110.1109/MDM.2013.16(56-65)Online publication date: 3-Jun-2013
https://dl.acm.org/doi/10.1109/MDM.2013.16
Pushp SMin CLee YLiu CSong JEskicioglu RCampbell ALangendoen K(2012)Towards crowd-aware sensing platform for metropolitan environmentsProceedings of the 10th ACM Conference on Embedded Network Sensor Systems10.1145/2426656.2426695(335-336)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2426656.2426695

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

An integrated cloud-based framework for mobile phone sensing

Collaborative opportunistic sensing with mobile phones

Cloud-Based Query Evaluation for Energy-Efficient Mobile Sensing