The Study of QoS Residential Gateway based on a Service-oriented Architecture

• Main Authors: Pei-Chen Tseng, 曾珮宸
• Other Authors: Wen-Shyang Hwang
• Format: Others
• Language: en_US
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/14787436082241598270

博士 === 國立高雄應用科技大學 === 電機工程系 === 97 === Networks are becoming a ubiquitous aspect of human life. The residential gateway (RG) is the all-in-one core device of the digital home network. Multimedia and real-time applications are the greatest QoS (quality of service) challenge to bounded network bandwidth resources. They also create security issues regarding authorized access to the home network and its digital content. This dissertation presents a SOA (service-oriented architecture) based Embedded QoS-aware residential gateway ((Em)QRG), simply called SOA-QRG, which acts as an open platform for integration of a variety of necessary systems in the home network. The SOA-QRG expedites the sharing of services, enhanced collaborative possibilities, integrated sub-systems and flexible heterogeneous inter-system interoperability. The (Em)QRG performs DiffServ-QoS traffic classification, i.e. it classifies traffic flow into separate types for optimal use of bounded network bandwidth resources, with particular emphasis on maintaining high multimedia quality despite network congestion and bottlenecking. Additional special priority is given to critical safety issues such as emergency warning during healthcare monitoring and general system security systems. Enhanced streaming multimedia service is obtained via use of an adaptive subsampling/de-subsampling scheme which transmits fewer data during network congestion by use of an adaptively adjustable compression ratio according to feedback information from the (Em)QRG. We tested the SOA (Em)QRG under normal and variably congested conditions for performance of the multimedia and safety/security tasks, with simultaneous performance of a number of additional home safety subsystems: 1) a BBRS (bimodal biometric recognition system) identification system; 2) a vehicle plate identification system; 3) a ZigBee-based location-based services (LBS) for wireless indoor positioning system; 4) a ZigBee-based wireless healthcare monitoring system. Experimental verification of the SOA-QRG is presented, showing excellent performance of all the assigned tasks.