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A MANET-based semantic traffic management framework for ubiquitous public safety networks

机译:基于MANET的普适公共安全网络语义流量管理框架

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摘要

A global trend toward large scale emergencies has placed an emphasis on the achievement of a ubiquitous public safety network. Such a network may be realized over a mobile ad hoc network formed by the handheld mobile devices. Therefore, traffic in the network can be user generated and thus semantic. Unfortunately, none of the traffic management techniques proposed for the underlying network considers the semantic properties of the generated traffic. Therefore, in this paper, we propose a semantic traffic management framework which has two modules: traffic monitoring unit and traffic reduction unit. Although the first module analyzes the semantic traffic to detect an emergency, the latter module removes redundant semantic information for traffic reduction. We have supported the feasibility of the proposed semantic framework through simulation. Simulation results suggest that the framework is capable of accurate and early detection of an emergency as well as traffic reduction while keeping sufficient information to report the emergency.
机译:大规模紧急情况的全球趋势已将重点放在建立无处不在的公共安全网络上。这样的网络可以在由手持式移动设备形成的移动自组织网络上实现。因此,网络中的流量可以由用户生成,从而具有语义。不幸的是,为基础网络提出的流量管理技术均未考虑所生成流量的语义属性。因此,本文提出了一种语义交通管理框架,该框架具有两个模块:交通监控单元和交通减少单元。尽管第一个模块分析语义流量以检测紧急情况,但后一个模块删除冗余语义信息以减少流量。我们已经通过仿真支持了所提出的语义框架的可行性。仿真结果表明,该框架能够准确,早期地检测到紧急情况并减少流量,同时保留足够的信息来报告紧急情况。

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