A Reference Architecture for Mobile Crowdsensing Platforms

Herbertt B. M. Diniz, Emanoel C. G. F. Silva, Thomas C. C. Nogueira, Kiev Gama

Abstract

Many software solutions today rely on systems that integrate and analyze city data gathered from different sources (sensors and information systems) in real-time. Thanks to smartphones, citizens can act as smart sensors collecting city data in what is being called mobile crowdsensing (MCS). The literature that explores systems in that area, typically present high-level software architectures without much detail about their implementation or feasibility. With the intention of offer a straightforward and easy-to-follow reference architecture, this paper presents an approach that employs off-the-shelves components for the construction of an MCS platform for participatory sensing solutions in Smart Cities. We demonstrate an implementation of that architecture in a specific domain.

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Paper Citation


in Harvard Style

Diniz H., Silva E., Nogueira T. and Gama K. (2016). A Reference Architecture for Mobile Crowdsensing Platforms . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 600-607. DOI: 10.5220/0005837606000607


in Bibtex Style

@conference{iceis16,
author={Herbertt B. M. Diniz and Emanoel C. G. F. Silva and Thomas C. C. Nogueira and Kiev Gama},
title={A Reference Architecture for Mobile Crowdsensing Platforms},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={600-607},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005837606000607},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Reference Architecture for Mobile Crowdsensing Platforms
SN - 978-989-758-187-8
AU - Diniz H.
AU - Silva E.
AU - Nogueira T.
AU - Gama K.
PY - 2016
SP - 600
EP - 607
DO - 10.5220/0005837606000607