Title
MultiS: A Context-Server for Pervasive Computing
Abstract
Context-aware applications are capable of recognizing environmental changes and adapting their behavior to the new context. This process can be divided into three stages: monitoring, context recognition and adaptation. On the monitoring layer, raw information about the environment is collected from sensors. The context recognition layer processes the data acquired from the context and transforms it into information which can be useful for the adaptation process. With this information, the adaptation system can determine what behavior is correct for the application in each different context. This paper proposes a context server called MultiS, which has the goal of solving the problems arising from the context recognition layer, and which includes the following advantages: a) the production of new context data based on the information of several sensors and an ability to react to changes in the environment; b) definition of a composed language for the context data called CD-XML; c) support for mobility.
Year
DOI
Venue
2013
10.1016/j.entcs.2013.02.004
Electr. Notes Theor. Comput. Sci.
Keywords
Field
DocType
different context,pervasive computing,new context data,context recognition layer,context data,adaptation system,raw information,new context,adaptation process,context server,context recognition,adaptation,middleware
Middleware,World Wide Web,Computer science,Context model,Theoretical computer science,Human–computer interaction,Ubiquitous computing
Journal
Volume
ISSN
Citations 
292,
1571-0661
0
PageRank 
References 
Authors
0.34
12
6