March 10, 2008
Speaker: Murtaza Zafer, Research Staff, IBM Thomas J. Watson Research Center
Mobile Ad-hoc Networks (MANETs) are infrastructure-less wireless networks that have attracted much research attention recently due to their potential of easy deployment and use in a wide variety of terrains. Being prone to attacks and failures, monitoring such networks is crucial in isolating misbehaving nodes. In this talk, I will present results on wireless network monitoring at the physical layer; specifically, I will consider blind estimation of transmission power of a node based on measurements of received power under wireless fading.
The setup consists of a set of monitors deployed in a wireless network that can measure the signal power received from the transmitting nodes. The monitoring problem is to utilize the received-power measurements to estimate the transmit power of the node, without any prior knowledge of the transmitting node’s location or any statistical distribution of its transmission power. Towards this end, we exploit spatial diversity in received-power measurements and cooperation among the multiple monitoring nodes. Based on a theoretical analysis, we obtain the Maximum Likelihood (ML) estimate, derive fundamental geometrical insights and show that the estimation is asymptotically optimal. Finally, we compare the performance of the estimators through simulations and on a data-set of actual field measurements.
Murtaza Zafer received the S. M. and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT), MA, USA, in 2003 and 2007 respectively. Earlier he received the B.Tech degree in Electrical Engineering from the Indian Institute of Technology (IIT) Madras, India, in 2001. Currently, he is a Research Staff Member at IBM Thomas J. Watson Research Center, NY, USA, where his research is on communication and sensor networks. He spent the summer of 2004 at the Mathematical Sciences Research center, Bell Laboratories Alcatel-Lucent Inc. His research interests are in queueing theory, information theory, control and optimization theory, algorithms and protocol design with applications to communication networks. He is the co-recipient of the best Student Paper award at WiOpt conference, 2005. He also received the Siemens and Philips award for academic excellence in 2001.