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Erschienen in: Knowledge and Information Systems 1/2020

08.03.2019 | Regular Paper

A review of mobile sensing systems, applications, and opportunities

verfasst von: Francisco Laport-López, Emilio Serrano, Javier Bajo, Andrew T. Campbell

Erschienen in: Knowledge and Information Systems | Ausgabe 1/2020

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Abstract

Mobile phones, vehicles, appliances, and other types of devices have sensors in the last few years. On the good side, this makes the world increasingly interconnected every day. However, this interconnection generates Big Data that cannot be processed using traditional tools because of its volume, variety, and speed. This paper contributes with a review of mobile sensing systems, including their applications, shortcomings, and opportunities. A taxonomy covering the different systems revised is proposed. Moreover, the main characteristics of mobile sensing architectures are explained and research-related works are studied into the context of these characteristics. Multi-agent systems (MASs) are considered as a perfect match to create large-scale, multi-device, and multi-purpose mobile sensing systems with the potential of obtaining information from heterogeneous devices, open sources, and social networks. Finally, the paper also contributes with the overview of a MAS architecture that aims to leverage these features while the studied dimensions observed in the reviewed literature are covered.

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Metadaten
Titel
A review of mobile sensing systems, applications, and opportunities
verfasst von
Francisco Laport-López
Emilio Serrano
Javier Bajo
Andrew T. Campbell
Publikationsdatum
08.03.2019
Verlag
Springer London
Erschienen in
Knowledge and Information Systems / Ausgabe 1/2020
Print ISSN: 0219-1377
Elektronische ISSN: 0219-3116
DOI
https://doi.org/10.1007/s10115-019-01346-1

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