Title:
Sparsity-Aware Sensor Selection: Centralized and Distributed Algorithms

Abstract:
The selection of the minimum number of sensors within a network to satisfy a certain estimation performance metric is an interesting problem with a plethora of applications. We explore the sparsity embedded within the problem and propose a relaxed sparsity-aware sensor selection approach which is equivalent to the unrelaxed problem under certain conditions. We also present a reasonably low-complexity and elegant distributed version of the centralized problem with convergence guarantees such that each sensor can decide itself whether it should contribute to the estimation or not. Our results corroborate our claims and illustrate a promising performance for the proposed centralized and distributed algorithms.

Speaker Bio:
Hadi Jamali-Rad received the B.Sc. and M.Sc. degrees both in electrical engineering from Iran University of Science and Technology (IUST), Tehran, Iran, in 2007 and 2010, respectively. Since 2010, he has been working toward the Ph.D. degree in electrical engineering at Delft University of Technology (TU Delft), Delft, The Netherlands. In 2012, he was a visiting scholar at University of Leuven (KU Leuven), Belgium. In 2013, he was an intern with Shell Global Solutions, The Netherlands. Currently, he is a visiting scholar at the CSIP at Georgia Tech.