Fast sensor scheduling for estimation of networked sensor systems

This paper addresses a sensor scheduling problem for a class of networked sensor systems whose sensors are spatially distributed and measurements are influenced by state dependent noise. Sensor scheduling is required to achieve power saving since each sensor operates with a battery power source. This paper considers the sensor scheduling problem for estimation of networked sensor systems, and a fast sensor scheduling algorithm for the estimation problem is presented.

[1]  Anders Rantzer,et al.  SUB-OPTIMAL SENSOR SCHEDULING WITH ERROR BOUNDS , 2005 .

[2]  Zhilbert Tafa.  Ubiquitous Sensor Networks , 2011 .

[3]  Andrew E. B. Lim,et al.  Sensor scheduling in continuous time , 2001, Autom..

[4]  Masatoshi Ishikawa,et al.  A sensor selection method considering communication delays , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[5]  Kok Lay Teo,et al.  Hybrid method for a general optimal sensor scheduling problem in discrete time , 2008, Autom..

[6]  Jun Ota,et al.  Fusion of multiple ultrasonic sensor data and imagery data for measuring moving obstacle's motion , 1996, 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (Cat. No.96TH8242).

[7]  K. V. Ramachandra,et al.  Kalman Filtering Techniques for Radar Tracking , 2000 .

[8]  S. Shankar Sastry,et al.  An Invitation to 3-D Vision , 2004 .

[9]  Joel W. Burdick,et al.  Scheduling for distributed sensor networks with single sensor measurement per time step , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[10]  Il Young Song,et al.  Distributed fusion receding horizon filtering , 2009, 2009 ICCAS-SICE.

[11]  Daniela Rus,et al.  Experiments with Robots and Sensor Networks for Mapping and Navigation , 2005, FSR.

[12]  Koichi Hashimoto,et al.  Fast and optimal sensor scheduling for networked sensor systems , 2008, 2008 47th IEEE Conference on Decision and Control.

[13]  Gaurav S. Sukhatme,et al.  Mobile robot navigation using a sensor network , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[14]  Feng Zhao,et al.  Information-Driven Dynamic Sensor Collaboration for Tracking Applications , 2002 .