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A review of mobile sensing systems, applications, and opportunities

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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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  1. https://www.facebook.com/.

  2. https://twitter.com.

  3. https://www.nike.com/us/en_us/c/nike-plus/.

  4. https://www.google.com/fit/.

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Acknowledgements

This research work is supported by a contract granted by the Xunta de Galicia and the European Social Fund of the European Union (Francisco Laport, code ED481A-2018/156); and by the Spanish Ministry of Economy, Industry and Competitiveness under the R&D project Datos 4.0: Retos y soluciones (TIN2016-78011-C4-4-R, AEI/FEDER, UE).

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Authors and Affiliations

  1. Group of Electronic Technology and Communications, Department of Computer Engineering, University of A Coruña, A Coruña, Spain

    Francisco Laport-López

  2. Ontology Engineering Group, Artificial Intelligence Department, Universidad Politécnica de Madrid, Madrid, Spain

    Emilio Serrano & Javier Bajo

  3. Dartmouth College, Hanover, NH, USA

    Andrew T. Campbell

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  1. Francisco Laport-López
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  2. Emilio Serrano
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Correspondence to Emilio Serrano.

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Laport-López, F., Serrano, E., Bajo, J. et al. A review of mobile sensing systems, applications, and opportunities. Knowl Inf Syst 62, 145–174 (2020). https://doi.org/10.1007/s10115-019-01346-1

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