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CoSP: A Collaborative Sensing Platform for mobile applications

Author
Esunly Medina
David López
Dolors Royo
Roc Meseguer
Sergio Ochoa
Keywords
Androids
Batteries
battery consumption reduction
collaborative sensing
collaborative sensing platform
CoSP
Global Positioning System
groupware
Humanoid robots
mobile applications
Mobile Collaboration
mobile computing
Sensors
Smart phones
smartphone-based sensing
smartphones
user behavioural patterns
user modelling
Abstract

Smartphones are powerful sensing devices that can help us capture not only information from the environment, but also the users’ activities. Based on that information, mobile systems can identify the user’s behavioural patterns and adjust their services to better fit his needs. This paper presents a software infrastructure, named Collaborative Sensing Platform (CoSP), which facilitates the automatic collection and collaborative distribution of the data gathered from smartphone sensors. CoSP also helps to save energy during the sensing and data sharing processes. This platform was evaluated empirically in a laboratory experiment. The preliminary results indicate that this infrastructure is useful not only for data gathering and sharing, but also for reducing the battery consumption involved in the sensing tasks.

Year of Publication
2015
Publisher
IEEE
DOI
10.1109/CSCWD.2015.7230989
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