Network queue management and congestion control in internet and wireless networks

• Authors: Chita R. Das;George Kesidis;Xidong Deng
• Venue: Network queue management and congestion control in internet and wireless networks
• Year: 2004

The overall thesis is to investigate the role of flow control mechanisms in today's Internet congestion control and QoS provisioning through extensive design and analysis. This dissertation studies several related research issues. First, we compare the performance of various Active Queue Management (AQM) schemes in providing QoS guarantees from a network-centric standpoint such as link throughput and router queue length. We propose a new AQM scheme, called Stabilized Virtual Buffer (SVB), that provides better performance and stability under a wide range of traffic and network conditions. Next, we study how the AQM schemes behave in providing QoS assurance from a network user's perspective. We investigate various techniques for extending the existing AQM schemes to address the fairness issues in a heterogeneous network. The above mentioned congestion control, fairness and security issues are not only prominent for the Internet infrastructure when wired backbones and centralized control entities are available, but also are very essential for various applications that use wireless technologies for flexible and reliable data communication. Therefore, this dissertation extends the research methodologies and technologies that we developed in the study of Internet congestion control problem to the various types of wireless networks including wireless local area networks, wireless ad-hoc networks, and wireless sensor networks. In particular, we investigate (1) Using AQM schemes in Wireless LANS for facilitating the QoS provisioning and providing fairness for traffic flows traversing between wired and wireless domains. (2) Network flow control mechanisms that interacts with the 802.11 MAC protocol for enhancing fairness in wireless ad-hoc networks. (3) Reliable and Energy-efficient data transport for congestion control and avoidance in wireless sensor networks. For all these problems we present novel solutions that outperform the prior work and are validated using extensive simulations. (Abstract shortened by UMI.)