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Sensors 2016, 16(7), 1062; doi:10.3390/s16071062

Mobile Autonomous Sensing Unit (MASU): A Framework That Supports Distributed Pervasive Data Sensing

1
Department of Computer Architecture, Universitat Politècnica de Catalunya, Barcelona 08034, Spain
2
Computer Science Department, Universidad de Chile, Beauchef 851, Edificio Norte, 3er Piso, Santiago 8370459, Chile
3
Department of Electrical Engineering, Universidad Nacional del Sur—CONICET, Bahia Blanca 8000, Argentina
*
Author to whom correspondence should be addressed.
Academic Editors: Vladimir Villarreal and Carmelo R. García
Received: 8 May 2016 / Revised: 4 July 2016 / Accepted: 5 July 2016 / Published: 9 July 2016
(This article belongs to the Special Issue Selected Papers from UCAmI, IWAAL and AmIHEALTH 2015)

Abstract

Pervasive data sensing is a major issue that transverses various research areas and application domains. It allows identifying people’s behaviour and patterns without overwhelming the monitored persons. Although there are many pervasive data sensing applications, they are typically focused on addressing specific problems in a single application domain, making them difficult to generalize or reuse. On the other hand, the platforms for supporting pervasive data sensing impose restrictions to the devices and operational environments that make them unsuitable for monitoring loosely-coupled or fully distributed work. In order to help address this challenge this paper present a framework that supports distributed pervasive data sensing in a generic way. Developers can use this framework to facilitate the implementations of their applications, thus reducing complexity and effort in such an activity. The framework was evaluated using simulations and also through an empirical test, and the obtained results indicate that it is useful to support such a sensing activity in loosely-coupled or fully distributed work scenarios. View Full-Text
Keywords: distributed pervasive data sensing; pervasive monitoring; mobile collaboration; software development framework distributed pervasive data sensing; pervasive monitoring; mobile collaboration; software development framework
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Medina, E.; Lopez, D.; Meseguer, R.; Ochoa, S.F.; Royo, D.; Santos, R. Mobile Autonomous Sensing Unit (MASU): A Framework That Supports Distributed Pervasive Data Sensing. Sensors 2016, 16, 1062.

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