Neighbor-Aware Schemes for IEEE 802.11-based wireless Networks Tamer Nadeem Siemens Corporate Research Date: June 1, 2010 (Tuesday) Place: E & C S BUILDING Auditorium (1st Floor) TIME: 10:00 (DONUTS) 10:10 (TALK) Wireless networks present unusual challenges since they are characterized by unpredictable connectivity and widely varying bandwidth. A wireless node can experience rapid and large-scale changes in bandwidth availability. If a node does not adapt its network communication to these changes, it suffers from performance degradation. However, nodes adapt according to their best interests that may conflict with neighbor nodes' objectives. Therefore, nodes need to observe the behavior of their neighbors and dynamically adapt their performance according to neighbors' behavior (neighbor-aware) in addition to network conditions. Schemes that monitor and collect information about their neighbors and then be able to adjust their behavior based on the collected information are called neighbor-aware schemes. In this talk, I will present neighbor-aware schemes in the context of two different IEEE 802.11 network environments. In the first part of my talk, I will present MORAL (Multi-user data Rate Adjustment aLgorithm) scheme that utilizes the retry limit parameter of IEEE 802.11 networks and dynamically adjust this parameter according to the channel characteristics observed and the neighbor information gathered from communications in order to guarantee fairness and network performance accordingly. In wireless ad hoc network, cooperation among nodes for packet forwarding is essential to the survival of an ad hoc network. If nodes refuse to cooperate in packet forwarding, end-to-end packet delivery may not be possible. Such uncooperative behavior can greatly degrade network performance and may even result in total communication breakdown. Reputation management systems have been proposed as a cooperation enforcement solution in ad hoc networks. However, the dynamic nature of ad hoc networks causes node behavior to vary both spatially and temporally due to changes in the local and network-wide conditions. When reputation management functions do not adapt to such changes, their effectiveness, measured in terms of accuracy (correct identification of node behavior) and promptness (timely identification of node misbehavior), may be compromised. In the second part of my talk, I will present an adaptive reputation management system that observes neighbors' cooperative behavior and realizes that changes in node behavior may be driven by changes in network conditions, and then accommodates such changes by adapting its operating parameters. Biography: Tamer Nadeem received the Ph.D. degree from the University of Maryland, College Park, in 2006. He is currently a Research Scientist with Siemens Corporate Research, Inc., Princeton, NJ. His research interest includes radio management for wireless networks, vehicular networking, pervasive computing, sensor networks, and peer-to-peer systems. He has published more than 40 technical papers in refereed conferences and journals including the Journal on Selected Areas of Communication (JSAC), the IEEE Transaction on Mobile Computing, the IEEE Infocom, and the Association for Computing Machinery (ACM) International Measurement Conference (IMC). Dr. Nadeem is a member of the ACM, the IEEE Computer Society, and the IEEE Communication Society.