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a_cross-layer_perspective_on_distributed_estimation_with_fusion_center_quality_feedback [2016/09/01 19:15] (current)
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|+||Title: A Cross-Layer Perspective on Distributed Estimation with Fusion Center quality feedback|
|+||Abstract: In the future internet of things, heterogeneous and ubiquitous devices with sensing, processing and communication capabilities will be connected to the internet enabling applications such as environmental and climate monitoring, wireless body area networks, surveillance, to name a few. However, the networking of these devices brings about new challenges, such as the optimal integration of communication, control and sensing, the requirement of distributed operation, and the large scale optimization of the system. In this regard, a cross-layer approach is required in the design of schemes for data acquisition and sensing. In this talk, a cross-layer framework for distributed estimation of a dynamical process in a Wireless Sensor Network (WSN) is presented, where the Sensor Nodes (SNs) adapt their sensing/transmission strategy based on the local accuracy of their observations and on a minimal estimation quality feedback message provided by the FC. The sensing/transmission strategy of each SN, i.e., local measurement SNR and transmission probability, are jointly optimized, with the overall objective to minimize the mean squared error at the FC, given a cost constraint for each SN. Structural properties of the optimal policy are derived based on a large network approximation. Moreover, the design of low complexity polices will be discussed, which are shown to achieve near-optimal performance.|
|+||Bio: Dr. Nicolo Michelusi received the B.Sc. degree with honors, M.Sc. degree with honors and Ph.D. degree in Electrical Engineering from University of Padova, Italy, in 2006 and 2009, and 2013 respectively. Additionally, he received a second M.Sc. degree in Telecommunication Engineering from Technical University of Denmark in 2009, under the T.I.M.E. double degree program (www.time-association.org). In 2011, he was a visiting research scholar at University of Southern California in Urbashi Mitra's group and in Fall 2012, he was a visiting research scholar at Aalborgh University, Denmark, where he worked with Prof. Petar Popovski. He is currently a postdoctoral research fellow at the Ming Hsieh Department of Electrical Engineering, University of Southern California, USA, working with Prof. Urbashi Mitra. His current research interests are in the areas of wireless communications, cognitive networks, energy harvesting for wireless sensor networks, distributed estimation, stochastic optimization. He is the recipient of a scholarship from the Fondazione Ing. Aldo Gini (2010) and he was awarded the Toni Mian scholarship for the best Master's Thesis in Information Engineering from University of Padova, Italy in March 2010.|