A Survey on Smartphone-Based Crowdsensing Solutions

Joint Authors

Manzoni, Pietro
Zamora, Willian
Calafate, Carlos T.
Cano, Juan Carlos

Source

Mobile Information Systems

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-26, 26 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-12-07

Country of Publication

Egypt

No. of Pages

26

Main Subjects

Telecommunications Engineering

Abstract EN

In recent years, the widespread adoption of mobile phones, combined with the ever-increasing number of sensors that smartphones are equipped with, greatly simplified the generalized adoption of crowdsensing solutions by reducing hardware requirements and costs to a minimum.

These factors have led to an outstanding growth of crowdsensing proposals from both academia and industry.

In this paper, we provide a survey of smartphone-based crowdsensing solutions that have emerged in the past few years, focusing on 64 works published in top-ranked journals and conferences.

To properly analyze these previous works, we first define a reference framework based on how we classify the different proposals under study.

The results of our survey evidence that there is still much heterogeneity in terms of technologies adopted and deployment approaches, although modular designs at both client and server elements seem to be dominant.

Also, the preferred client platform is Android, while server platforms are typically web-based, and client-server communications mostly rely on XML or JSON over HTTP.

The main detected pitfall concerns the performance evaluation of the different proposals, which typically fail to make a scalability analysis despite being critical issue when targeting very large communities of users.

American Psychological Association (APA)

Zamora, Willian& Calafate, Carlos T.& Cano, Juan Carlos& Manzoni, Pietro. 2016. A Survey on Smartphone-Based Crowdsensing Solutions. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-26.
https://search.emarefa.net/detail/BIM-1111670

Modern Language Association (MLA)

Zamora, Willian…[et al.]. A Survey on Smartphone-Based Crowdsensing Solutions. Mobile Information Systems No. 2016 (2016), pp.1-26.
https://search.emarefa.net/detail/BIM-1111670

American Medical Association (AMA)

Zamora, Willian& Calafate, Carlos T.& Cano, Juan Carlos& Manzoni, Pietro. A Survey on Smartphone-Based Crowdsensing Solutions. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-26.
https://search.emarefa.net/detail/BIM-1111670

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1111670