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
Link To Document :
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