Paper Info
Title
Mobile Autonomous Sensing Unit (MASU): A Framework That Supports Distributed Pervasive Data Sensing.
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.
Year
DOI
Venue
2016
10.3390/s16071062
SENSORS
Keywords
Field
DocType
distributed pervasive data sensing,pervasive monitoring,mobile collaboration,software development framework
Sensing applications,Mobile collaboration,Reuse,Computer science,Real-time computing,Electronic engineering,Implementation,Context-aware pervasive systems,Application domain,Empirical research,Distributed computing
Journal
Volume
Issue
Citations 
16
7.0
0
PageRank 
References 
Authors
0.34
18
6
Name
Order
Citations
PageRank
Esunly Medina1657.11
David Andres Lopez Nuevo221.08
Meseguer, R.32510.74
Sergio F. Ochoa482393.70
Dolors Royo Valles5607.20
Rodrigo M. Santos6279.45