DocumentCode
2387234
Title
Flocking control of a mobile sensor network to track and observe a moving target
Author
La, Hung M. ; Sheng, Weihua
Author_Institution
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
fYear
2009
fDate
12-17 May 2009
Firstpage
3129
Lastpage
3134
Abstract
This paper presents a new approach to flocking control of a mobile sensor network to track a moving target. In our approach, the center of mass (CoM) of positions and velocities of all mobile sensors in the network (Single-CoM) or the center of mass of position and velocity of each sensor and its neighbors (Multi-CoM) is controlled to track and observe a moving target. In addition, we prove that the CoM of position and velocity exponentially converges to the moving target in free space. Based on this approach, the target is kept at the center of the sensor network. This is of great advantage for sensors to track and observe the target for recognition or identification purposes. In addition, collision-free and velocity matching among mobile sensors are guaranteed in the whole process of the target tracking. We also investigate the stability of our algorithms. The numerical simulations are performed to demonstrate the proposed approach.
Keywords
collision avoidance; distributed sensors; mobile robots; pattern matching; target tracking; velocity control; center-of-mass; flocking control; mobile sensor network; moving target tracking; position control; target identification; target recognition; velocity control; velocity matching; Biosensors; Mobile computing; Numerical simulation; Sensor phenomena and characterization; Stability; Target recognition; Target tracking; Underwater tracking; Velocity control; Weight control; Flocking; mobile sensor network; obstacle avoidance; target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location
Kobe
ISSN
1050-4729
Print_ISBN
978-1-4244-2788-8
Electronic_ISBN
1050-4729
Type
conf
DOI
10.1109/ROBOT.2009.5152747
Filename
5152747
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