A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services

Waskitho Wibisono; M. Divi Jaya Nuryanto; Royyana M. Ijtihadie; Tohari Ahmad; Radityo Anggoro

doi:10.1145/3144457.3145506

A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services

Waskitho Wibisono
, M. Divi Jaya Nuryanto
, Royyana M. Ijtihadie
, Tohari Ahmad
, Radityo Anggoro

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The proliferations of mobile crowdsensing (MCS) services using smartphones with various embedded sensors have enabled people to involve in public sensing activities for various applications. Nevertheless for more complex applications such as smart CIties, traffic monitoring, disaster prevention more variety of sensors are required. Hence combination of smartphone and Internet of Things (IoT) devices to form crowdsensing cluster will give great advantages. This paper proposes design and implementation of mobile crowdsensing framework to support integration of smartphones and IoT devices as a mobile crowdsensing cluster. The prototype of the proposed framework has been successfully implemented and tested using real devices and infrastructure with promising results.

Original language	English
Title of host publication	14th EAI International Conference on Mobile and Ubiquitous Systems
Subtitle of host publication	Computing, Networking and Services, MobiQuitous 2017
Publisher	Association for Computing Machinery
Pages	482-487
Number of pages	6
ISBN (Print)	9781450353687
DOIs	https://doi.org/10.1145/3144457.3145506
Publication status	Published - 7 Nov 2017
Event	14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017 - Melbourne, Australia Duration: 7 Nov 2017 → 10 Nov 2017

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017
Country/Territory	Australia
City	Melbourne
Period	7/11/17 → 10/11/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Mobile Crowdsensing, Cloud Computing

Access to Document

10.1145/3144457.3145506

Cite this

Wibisono, W., Nuryanto, M. D. J., Ijtihadie, R. M., Ahmad, T., & Anggoro, R. (2017). A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services. In 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017 (pp. 482-487). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3144457.3145506

Wibisono, Waskitho ; Nuryanto, M. Divi Jaya ; Ijtihadie, Royyana M. et al. / A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services. 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017. Association for Computing Machinery, 2017. pp. 482-487 (ACM International Conference Proceeding Series).

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title = "A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services",

abstract = "The proliferations of mobile crowdsensing (MCS) services using smartphones with various embedded sensors have enabled people to involve in public sensing activities for various applications. Nevertheless for more complex applications such as smart CIties, traffic monitoring, disaster prevention more variety of sensors are required. Hence combination of smartphone and Internet of Things (IoT) devices to form crowdsensing cluster will give great advantages. This paper proposes design and implementation of mobile crowdsensing framework to support integration of smartphones and IoT devices as a mobile crowdsensing cluster. The prototype of the proposed framework has been successfully implemented and tested using real devices and infrastructure with promising results.",

keywords = "Mobile Crowdsensing, Cloud Computing",

author = "Waskitho Wibisono and Nuryanto, \{M. Divi Jaya\} and Ijtihadie, \{Royyana M.\} and Tohari Ahmad and Radityo Anggoro",

note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017 ; Conference date: 07-11-2017 Through 10-11-2017",

year = "2017",

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language = "English",

isbn = "9781450353687",

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Wibisono, W, Nuryanto, MDJ, Ijtihadie, RM , Ahmad, T & Anggoro, R 2017, A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services. in 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 482-487, 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017, Melbourne, Australia, 7/11/17. https://doi.org/10.1145/3144457.3145506

A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services. / Wibisono, Waskitho; Nuryanto, M. Divi Jaya; Ijtihadie, Royyana M. et al.
14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017. Association for Computing Machinery, 2017. p. 482-487 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The proliferations of mobile crowdsensing (MCS) services using smartphones with various embedded sensors have enabled people to involve in public sensing activities for various applications. Nevertheless for more complex applications such as smart CIties, traffic monitoring, disaster prevention more variety of sensors are required. Hence combination of smartphone and Internet of Things (IoT) devices to form crowdsensing cluster will give great advantages. This paper proposes design and implementation of mobile crowdsensing framework to support integration of smartphones and IoT devices as a mobile crowdsensing cluster. The prototype of the proposed framework has been successfully implemented and tested using real devices and infrastructure with promising results.

KW - Mobile Crowdsensing, Cloud Computing

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M3 - Conference contribution

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Wibisono W, Nuryanto MDJ, Ijtihadie RM , Ahmad T , Anggoro R. A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services. In 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017. Association for Computing Machinery. 2017. p. 482-487. (ACM International Conference Proceeding Series). doi: 10.1145/3144457.3145506

A mobile crowdsensing framework for integrating smartphone and IoT devices to cloud computing services

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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