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Effective manipulation of context is very important in the research of context-awareness. In recent years, thus, a variety of context models have been proposed to properly handle the key aspects of the context, while focusing on scenario-based acquisition, management, and representation of context. However, they are difficult to be employed for agent system requiring distributed reasoning. In this...
In pervasive computing environment the contexts are usually imprecise and incomplete due to unreliable connectivity, user mobility, and resource constraints. In this paper we present an approach based on the Dempster-Shafer Theory (DST) for the reasoning with imprecise context. To solve the two fundamental issues of the DST, computation intensiveness and the Zadeh paradox, we filer out excrescent...
Wireless sensor networks are widely used for gathering data in an autonomous fashion. Since sensors are power constrained devices, it is quite important for them to minimize the energy consumption. In this paper we propose a novel tree-based clustering (TBC) approach for energy efficient wireless sensor networks. Here the nodes in a cluster form a tree with the root as the cluster-head, while the...
Context-awareness service is one of the key features of ubiquitous paradigm. To intelligently and sensitively deal with the dynamic environment, a methodology effectively enabling the agent-based distributed reasoning needs to be developed. The existing modeling approaches focus on scenario-based acquisition, management, and representation of context. However, they are difficult to be adapted to agent-based...
The context-aware system provides customized services to the users according to the current context. The traditional context reasoning process always produces the same result for the given context, called fixed matchmaking. With this, though, the context processing time substantially increases when the number of same events becomes large. We propose to solve this problem by just-in-time (JIT) matchmaking,...
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