Dynamic Context-Aware Service Adaptation in a Pervasive Computing System

Author(s):  
Moeiz Miraoui ◽  
Chakib Tadj ◽  
Chokri Ben Amar
2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Moeiz Miraoui ◽  
Chakib Tadj ◽  
Jaouhar Fattahi ◽  
Chokri Ben Amar

A pervasive computing system (PCS) requires that devices be context aware in order to provide proactively adapted services according to the current context. Because of the highly dynamic environment of a PCS, the service adaptation task must be performed during device operation. Most of the proposed approaches do not deal with the problem in depth, because they are either not really context aware or the problem itself is not thought to be dynamic. Devices in a PCS are generally hand-held, that is, they have limited resources, and so, in the effort to make them more reliable, the service adaptation must take into account this constraint. In this paper, we propose a dynamic service adaptation approach for a device operating in a PCS that is both context aware and limited resources aware. The approach is then modeled using colored Petri Nets and simulated using the CPN Tools, an important step toward its validation.


Author(s):  
Thyagaraju G. S. ◽  
U. P. Kulkarni

In this paper the authors have presented design and implementation of context aware service recommendation engine for cell phone. Context aware service recommendation engine for mobile is designed to automatically adopt its behavior to changing environment. To achieve this, an important issue to be addressed is how to effectively select services for adaptation according to the user’s current context. In this paper, the authors propose an intelligent service recommendation model. They formulate the service adaptation process by using artificial intelligence techniques like Bayesian Network, fuzzy logic and rough sets based decision table. Bayesian Network to classify the incoming call (high priority call, low priority call and unknown calls), fuzzy linguistic variables and membership degrees to define the context situations, the decision rules for adopting the policies of implementing a service.


Sign in / Sign up

Export Citation Format

Share Document