research-article

Crowd-Sourced Data Collection for Urban Monitoring via Mobile Sensors

Authors:

Antonella Longo,

Marco Zappatore,

Mario Bochicchio,

Shamkant B. NavatheAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 18, Issue 1

Article No.: 5, Pages 1 - 21

https://doi.org/10.1145/3093895

Published: 26 October 2017 Publication History

Abstract

A considerable amount of research has addressed Internet of Things and connected communities. It is possible to exploit the sensing capabilities of connected communities, by leveraging the continuously growing use of cloud computing solutions and mobile devices. The pervasiveness of mobile sensors also enables the Mobile Crowd Sensing (MCS) paradigm, which aims at using mobile-embedded sensors to extend monitoring of multiple (environmental) phenomena in expansive urban areas. In this article, we discuss our approach with a cloud-based platform to pave the way for applying crowd sensing in urban scenarios. We have implemented a complete solution for environmental monitoring of several pollutants, like noise, air, electromagnetic fields, and so on in an urban area based on this paradigm. Through extensive experimentation, specifically on noise pollution, we show how the proposed infrastructure exhibits the ability to collect data from connected communities, and enables a seamless support of services needed for improving citizens’ quality of life and eventually helps city decision makers in urban planning.

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Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 18, Issue 1

Special Issue on Connected Communities

February 2018

250 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3155100

Editor:
Munindar P. Singh
Department of Computer Science, North Carolina State University

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Copyright © 2017 ACM.

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Association for Computing Machinery

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Publication History

Published: 26 October 2017

Accepted: 01 May 2017

Revised: 01 February 2017

Received: 01 May 2016

Published in TOIT Volume 18, Issue 1

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