The University of Texas at Dallas
The main objective in deployment of mobile sensor networks is to track a set of critical events targets of interest that occur in an environment. Our proposed solution relies on a combination of recently developed DKF and multi-objective flocking algorithms of the speaker as well as the Fisher Information Matrix of the sensed data.
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Simulation results of the information-driven control algorithms for tracking high-valued targets and distributed deployment of mobile sensors for situational awareness will be presented. Future directions of research on networked hybrid systems that arise in intelligent transportation and human-machine systems will be briefly discussed.
Bio Dr. He is the author of three seminal papers in systems and control theory.
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- Networked Sensing Information and Control | SpringerLink?
This technology is in the early stages of development consequently a number of issues need to addressed for successful realization of distributed sensing systems. This book takes a system-level perspective, presents some of the main mathematical problems and offers design solutions. The book is organized around four major themes:.
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Written by leading researchers and engineers, Networked Sensing Information and Control includes motivating examples from specific domains such as national defense and environmental monitoring, but also provides fundamental theory and methods which are applicable to a wide range of networked sensing applications. Skip to main content Skip to table of contents. Advertisement Hide. Networked Sensing Information and Control.
Distributed Networked Sensing and Control Systems: Robust Estimation and Real-time Control
Pages Sparse multidimensional scaling for blind tracking in sensor networks. Rangarajan, R. Raich, A.
Hero III. Function Computation in Wireless Sensor Networks. Alexandros G.