Middleware platform for mobile crowd-sensing applications using HTML5 APIs and web technologies

1Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This chapter presents a web-based cross-platform architecture based on HTML5 APIs and other state-on-the-art web technologies. In fact, our architecture is a crowd sensing application which exploits the ubiquitous capabilities of modern mobile devices, along with their built-in sensing capabilities, in order to motivate the users to collect, share and use different kind of sensor data. The platform consists of two application specific components: the first, the client part, runs in the user device to collect sensor data and transmit them; the second, the server part, runs in the cloud and is responsible for analyzing and visualizing the data from all devices in a human friendly format, e.g. a map. The application is multi-sensor as it can collect data from almost all sensors of mobile devices. Besides the use of the platform as a participatory and opportunistic sensing architecture, our endmost aim is to be used with other Internet of Things equipment for the introduction to the third generation of Web characterized as ubiquitous web.

Cite

CITATION STYLE

APA

Vakintis, I., & Panagiotakis, S. (2016). Middleware platform for mobile crowd-sensing applications using HTML5 APIs and web technologies. In Modeling and Optimization in Science and Technologies (Vol. 8, pp. 231–274). Springer Verlag. https://doi.org/10.1007/978-3-319-30913-2_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free