An Implementing Approach to Dynamic Context-Aware Pervasive Computing Application System

Pervasive computing applications envision sensor rich computing and networking environments that can capture various types of contexts of inhabitants of the environment, such as their locations, activities, vital signs, and environmental measures. Such context information is useful in a variety of applications, for example to manage health information to promote independent living in “aging-in-place” scenarios. In reality, both sensed and interpreted contexts are often ambiguous, leading to potentially dangerous decisions if not properly handled. Thus, a significant challenge facing the development of realistic and deployable context-aware services for pervasive computing applications is the ability to deal with these ambiguous contexts. In this chapter, the authors discuss a resource optimized quality assured ontology-driven context mediation framework for resource constrained sensor networks based on efficient context-aware data fusion and information theoretic sensor parameter selection for optimal state estimation. It has the ability to represent contexts according to the applications’ ontology and easily composable ontological rules to mediate ambiguous contexts.

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A Kind of Context-Aware Approach Based on Fuzzy-Neural for Proactive Service of Pervasive Computing

Embedded Software and Systems - Lecture Notes in Computer Science ◽

10.1007/11599555_53 ◽

2005 ◽

pp. 554-563

Author(s):

Degan Zhang ◽

Guangping Zeng ◽

Xiaojuan Ban ◽

Yixin Yin

Keyword(s):

Pervasive Computing ◽

Context Aware ◽

Fuzzy Neural

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Micro Context-Awareness for Autonomic Pervasive Computing

International Journal of Business Data Communications and Networking ◽

10.4018/jbdcn.2011040104 ◽

2011 ◽

Vol 7 (2) ◽

pp. 48-68 ◽

Cited By ~ 11

Author(s):

Bessam Abdulrazak ◽

Patrice Roy ◽

Charles Gouin-Vallerand ◽

Yacine Belala ◽

Sylvain Giroux

Keyword(s):

Pervasive Computing ◽

Context Awareness ◽

Programming Model ◽

Software Components ◽

Context Aware ◽

Smart Space ◽

Global Knowledge ◽

System Utilization ◽

Pervasive System ◽

Micro Level

Context-aware software provides adapted services to users or other software components. On the other hand, Autonomic Pervasive Computing uses context to reduce the complexity of pervasive system utilization, management and maintenance. This paper describes two context-awareness models, the macro and micro approaches, that define and integrate contextual views of individual pervasive components (micro level) and global knowledge of the system (macro level), and provides a more detailed overview of a micro Context-aware programming model for open smart space problems. These models are presented and compared with respect to their ability to meet the requirements of the Autonomic Pervasive Computing concept of the four selves.

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