Probabilistic Context Retrieval Time-Based Algorithms in Dynamic Environments
Pages : 1633-1642
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Abstract
In mobile environments, mobile devices move continuously and have limited resources as computation, energy, and memory. Data management is one of the big challenges in this dynamic environment. The use of a context in mobile devices is receiving considerable attention to meet this challenge. In context-aware systems, applications can use the contextual information such as user location, time of day, nearby people and devices, and user activity in useful way to solve some dynamic environments issues. Context retrieval problem is one of the key issues in context awareness computing. In this paper, we describe the terms context-aware systems and context-aware middleware. Also, we give an exemplary overview about context definitions and classifications, introduce new context classification approaches. Furthermore, this paper develops context retrieval approaches in dynamic environments to reduce context retrieval energy consumption. Finally, the simulation results show that the proposed retrieval methods are much better than the traditional method.
Keywords: Context, Context-Aware Systems, Context Middleware, Context retrieval.
Article published in International Journal of Current Engineering and Technology, Vol.4,No.3 (June- 2014)