A Comparative Analysis of Context-Management
Approaches for the Internet of Things
Farida
Retima, Saber
Benharzallah, Laid
Kahloul, and Okba
Kazar
Smart Computer Sciences Laboratory, Biskra University,
Batna2 University, Algeria
Abstract: The Internet of Things
(IoT) has gained much attention during the last decade. A novel aspect like
context management is a fundamental requirement for development of such systems.
In literature, there are different approaches enabling the context management
for internet of IoT. This paper has both objectives: 1) firstly, it establishes
a set of classification criteria: heterogeneity, mobility, the influence of the
physical world, scalability, security, privacy, quality of context, autonomous
deployment of entities, characterization multi scales, interoperability,
context acquisition, context modeling, context reasoning, context distribution,
design method, and tools of implementation; 2) secondly, it refers to the
previous criteria to make a comparative study between the well known existing
approaches.
Keywords: Context management, internet of
things, context-awareness, context manager, middleware.
Received February 18, 2017; accepted May 10, 2017
