Point Process Models and Their Applications in Wireless Ad Hoc and Sensor Networks

Dr. Martin Haenggi
University of Notre DameAbstract:
The node distribution in ad hoc and sensor networks is typically modeled as a stochastic point process. Due to its analytical tractability, the (homogeneous) Poisson point process (PPP) is widely popular. We give an overview of interference and outage results for the PPP, and we present an approach to extend these to more general point processes. Next we show how fading can be incorporated in the point process, which leads to a geometric interpretation of fading that permits a convenient characterization of single-hop connectivity and transport capacity. We also present a recent result for the sentry selection problem in sensor networks, where the goal is to partition a PPP into subsets that each cover the plane.Bio:
Martin Haenggi is an Associate Professor of Electrical Engineering at the University of Notre Dame. He received the Dipl. Ing. (M.Sc.) and Ph.D. degrees from the Swiss Federal Institute of Technology in Zurich (ETHZ) in 1995 and 1999, respectively. In 1999/2000, he spent a postdoctoral year at the University of California in Berkeley. He received an NSF CAREER award in 2005, and he is a member of the Editorial Board of the Elsevier Journal of Ad Hoc Networks and the lead guest editor of an upcoming JSAC issue on stochastic geometry and random graphs for wireless networks. His scientific interests include networking and wireless communications, with an emphasis on ad hoc and sensor networks. He is currently on leave at UCSD.Host: Prof. Bhaskar Krishnamachari, Ext. 12528 http://engineering.usc.edu/calendar/

Location: Hedco Neurosciences Building (HNB) - 107

Audiences: Everyone Is Invited

Contact: B.Krishnamachari