Optimal Flow Control for Multi-Service Networks


M. Palaniswami;
Post Doctoral Research Fellow: Weihua Wang.

Student: Jiong Jin.

Moshe Zukerman, Unimelb;
Steven H. Low, Caltech, USA.

Introduction: This project aims to develop a manageable and scalable framework for QoS provision of multi-service networks. It involves an optimal flow control scheme and efficient resource/bandwidth allocation architecture, consisting of both source algorithm and congestion control feedback, for future communication networks including pervasive Internet, ad-hoc wireless networks and sensor networks. Special emphasis will be on supporting real-time applications, which possess non-concave utility functions.
Significance: We are developing novel distributed application-oriented flow control framework for single-path and multi-path networks, achieving utility proportional/max-min fairness to provide QoS guarantees. Meanwhile, wireless sensor network nowadays attracts more and more research attention due to its wide range of current and potential applications from environmental monitoring and conservation, to home automation and health-care services, to business inventory control and manufacturing. In order to address this serious need, we will develop optimal flow control strategies based on control theory and optimization to support real-time sensor network applications with physical sensor node power constraint.
Applications: In summary, the project has the potential to significantly enhance the future information networks to meet specified QoS requirements especially for demanding real-time services.
Challenges: Due to the high complexity of the networks and heterogeneity of the applications, advaced control theories and optimization techniques are required to analyze, control and further improve the performance.
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