Wireless Multicast: Theory, Approaches, and Protocols
Ομιλητής | Saswati Sarkar, Electrical and Systems Engineering, University of Pennsylvania |
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Τίτλος | Wireless Multicast: Theory, Approaches, and Protocols |
Ημερομηνία | Τετάρτη 17/09/2003, ώρα 12:00 |
Χώρος | Κτίριο Δεληγιώργη |
Διεύθυνση | Γκλαβάνη 37, Βόλος |
Βιογραφικό Ομιλητή
Saswati Sarkar received her Ph.d. in 2000 in Electrical and Computer Engineering at University of Pennsylvania. She has been an assistant professor at the Electrical and Systems Engineering department of University of Pennsylvania. Her research interests are in the area of modeling, analysis and performance evaluation of communication networks. She received a young faculty career award from NSF for her research in wireless adhoc networks.
Πληροφορίες
Bandwidth and energy-efficiency of wireless multicast can be substantially improved by exploiting the feature that a single transmission can be intercepted by several receivers at the MAC layer. The multicast nature of transmissions, however, changes the fundamental relations between the QoS parameters, throughput, stability and loss, e.g., a strategy that maximizes the throughput does not necessarily maximize the stability region or minimize the packet loss. The design of efficient transmission strategies need the resolution of decision problems and protocol challenges that are not encountered in wireline or wireless unicast or even in wireline multicast. We explore the trade-offs between the QoS parameters, and provide optimal transmission strategies that provably maximize the throughput subject to stability and loss constraints. The optimal strategies are adaptive, online, and easy-to-implement, yet attain the same performance as optimal offline and static strategies that assume in their decision process the knowledge of future packet arrivals and channel conditions. We design MAC protocols that implement the optimal strategies. We demonstrate using analysis, numerical performance evaluation and simulation that the MAC protocols significantly outperform the existing approaches.