• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.1C
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• pp.76-88
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• 2012

Traffic classification for application services in military communication networks is one of the core requirements to provide efficient resource management for NCW operations. Though several standards and organizations provided their own traffic classification methods, the methods have been mainly focused on commercial services, but not reflected military specifics. In addition, though various military application services have been emerged, some of those services have been classified into different traffic classes due to implicit criteria for the classification among organizations. In this paper, we propose a methodology to classify traffic classes and to determine delivery requirements for military application services based on various standards by DoD as well as several commercial standards based on Y.1541. The validation of the proposed methodology was carried out by comparing the results by proposed one with the traffic classification suggestions by existing commercial standards, DoD and FCS. We expect that the proposed methodology can contribute to achieve efficient operations of limited military network resources, since the proposed method can provide systematic and consistent way to assign traffic classes for new and existing military applications services.

• Journal of KIISE:Information Networking
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• v.35 no.3
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• pp.173-182
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• 2008

Promoting quality of streaming service in wireless networks has attracted intensive research over the years. Instable wireless channel condition causes high transmission delay and packet loss, due to fading and interference. Therefore, they lead to degrade quality of video streaming service. The IEEE 802.11 Working Group is currently working on a new standard called IEEE 802.11e to support quality of service in WLANs. And several schemes were proposed in order to guarantee QoS. However, they are not adaptable to network condition. Accordingly, they suffered video quality degradation, due to buffer overflow or packet loss. In this paper, to promote quality of video streaming service in WLANs, we propose a cross-layer architecture based on IEEE 802.11e EDCA model. Our cross-layer architecture provides differentiated transmission mechanism of IEEE 802.11e EDCA based on priority of MPEG-4 video frames and adaptively controls the transmission rate by dropping video frames through the efficient bandwidth estimation based on distinction of each AC. Through the simulation, proposed scheme is shown to be able to improve end-to-end qualify for video streaming service in WLANs.