Design and Implementation of Middleware for Context-Aware Service Discovery in Ubiquitous Computing Environments

The authors propose in this chapter a context grouping mechanism for context distribution over MANETs. Context distribution is becoming a key aspect for successful context-aware applications in mobile and ubiquitous computing environments. Such applications need, for adaptation purposes, context information that is acquired by multiple context sensors distributed over the environment. Nevertheless, applications are not interested in all available context information. Context distribution mechanisms have to cope with the dynamicity that characterizes MANETs and also prevent context information from being delivered to nodes (and applications) that are not interested in it. The authors’ grouping mechanism organizes the distribution of context information in groups whose definition is context based: each context group is defined based on a criteria set (e.g. the shared location and interest) and has a dissemination set, which controls the information that can be shared in the group. They propose a personalized and dynamic way of defining and joining groups by providing a lattice-based classification and recommendation mechanism that analyzes the interrelations between groups and users, and recommend new groups to users, based on the interests and preferences of the user.

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Context-aware Mobile AR system for Personalization, Selective Sharing, and Interaction of Contents in Ubiquitous Computing Environments

Human Computer Interaction ◽

10.5772/6296 ◽

2008 ◽

Cited By ~ 2

Author(s):

Youngjung Suh ◽

Youngmin Park ◽

Hyoseok Yoon ◽

Woontack Woo

Keyword(s):

Ubiquitous Computing ◽

Context Aware ◽

Computing Environments ◽

Mobile Ar ◽

Ubiquitous Computing Environments

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Algorithms to Resolve Conflict in Multiuser Context Aware Ubiquitous Environment

International Journal of Advanced Pervasive and Ubiquitous Computing ◽

10.4018/japuc.2012070103 ◽

2012 ◽

Vol 4 (3) ◽

pp. 42-62

Author(s):

Thyagaraju G.S. ◽

U.P. Kulkarni

Keyword(s):

Ubiquitous Computing ◽

Rough Set Theory ◽

Living Room ◽

Context Aware ◽

Coffee Shop ◽

Context Aware Computing ◽

Multiple Users ◽

Ubiquitous Environment ◽

Computing Environments ◽

Ubiquitous Computing Environments

Conflict resolution in context-aware computing is getting more significant attention from researchers as pervasive/ubiquitous computing environments take into account multiple users and multiple applications. In multi-user ubiquitous computing environments, conflicts among user’s contexts need to be detected and resolved. Conflicts arise when multiple users try to access or try to have a control on an application. In this paper, the authors propose a series of algorithms to resolve conflict which can be embedded in different context aware applications like context aware devices (say TV, Mobile, AC, and Fan) and Context Aware Ambient (like Meeting Room, Living Room, Restaurant, Coffee Shop, etc.). The algorithms discussed in this paper make use of different tools like Probability, Fuzzy Logic, Bayesian Network and Rough set theory. In addition the algorithms utilize various factors like social, personal and environmental. The motto of this paper is to enable context aware applications to offer socialized and personalized services to multiple users by resolving service conflicts among users.

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