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Information Dissemination between Mobile Nodes for Collaborative Context Awareness

机译:移动节点之间的信息传播以实现协作上下文感知

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摘要

In our everyday life, we frequently experience cases where persons group together. In those cases, context-aware systems capture and process identical context. Therefore, the need to collaboratively address Context Awareness (CA) emerges. In the considered setting, ad hoc networking between mobile nodes enables the exchange of information, thus, CA is facilitated. The synergy between mobile nodes materializes the Collaborative CA (CCA) paradigm. We advance the general CCA concept by performing communication between nodes probabilistically in a way similar to virus (epidemic) spreading. Nodes feature a hierarchical information model, which can be exploited by an information diffusion process. Multiple pieces of information, exchanged as epidemics, can complete the information present at a certain node, which in turn infers and spreads new information. We study this novel scheme extensively through an information model for context and an analytical framework (Markov process) with simulations. Our findings show that the information spreading large benefits from the mobility of nodes and semantic processing of the information model.
机译:在我们的日常生活中,我们经常遇到人聚在一起的情况。在这些情况下,上下文感知系统捕获并处理相同的上下文。因此,出现了协作解决上下文意识(CA)的需求。在所考虑的设置中,移动节点之间的自组织网络实现了信息交换,因此,简化了CA。移动节点之间的协同作用体现了协作CA(CCA)范例。我们通过以类似于病毒(流行)传播的方式概率性地在节点之间执行通信来推进通用CCA概念。节点具有分层信息模型,可以通过信息传播过程加以利用。作为流行病交换的多条信息可以完成某个节点上存在的信息,从而推断和传播新信息。我们通过用于上下文的信息模型和带有仿真的分析框架(马尔可夫过程)来广泛研究这种新颖的方案。我们的研究结果表明,信息的传播极大受益于节点的移动性和信息模型的语义处理。

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