Advances in Utility-Based Distributed Congestion Control Algorithms for Wireless Sensor Networks
Sep 04, 2008
from 04:15 pm to 05:30 pm
|Hosting organization||CUNY Graduate Center|
|Speaker Information||Archan Misra is a Researcher at the IBM TJ Watson Research Center, Hawthorne, NY, where he works on algorithms and protocols for sensor data dissemination, distributed infrastructures for stream analytics and presence technologies for converged networks. He has published extensively in the areas of wireless networking and pervasive computing and is a co-author on papers that received the Best Paper awards in ACM WOWMOM 2002 and IEEE MILCOM 2001. He is presently on the editorial boards of the IEEE Wireless Communications Magazine and the Journal of Pervasive and Mobile Computing and also chairs the IEEE Computer Society's Technical Committee on Computer Communications (TCCC). Archan received his Ph.D. in Electrical and Computer Engineering from the University of Maryland at College Park in May, 2000, and his B.Tech in Electronics and Communication Engineering from IIT Kharagpur, India in July 1993.|
|Where||CUNY Graduate Center rm 9204/9205|
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Many military environments require the dissemination of data streams from a set of sensors (such as video sensors, acoustic arrays and short-range radars) to a set of missions over a multi-hop wireless network. Network Utility Maximization (NUM) techniques have been extensively investigated, for their ability to achieve close-to optimal bandwidth sharing using purely-distributed control algorithms. In this talk, we will describe some enhancements and modifications to the base NUM framework for supporting some unique requirements for mission-oriented military applications. The first part of the talk describes techniques to adapt NUM-based strategies to scenarios where each mission requires data from multiple sensor streams, and where each sensor’s feed is distributed to different receivers along different routes. The second part of the talk addresses the issues of priorities for quasi-elastic missions, with higher-priority missions being characterized by a minimal utility requirement.
The Colloquium is supported by generous contributions from the Bloomberg, Information Builders, Inc., and Netlogic, Inc.