DocumentCode :
2567318
Title :
Optimal flocking control for a mobile sensor network based a moving target tracking
Author :
La, Hung M. ; Nguyen, Trung Hien ; Nguyen, Cong Huu ; Nguyen, Hien Nhu
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
4801
Lastpage :
4806
Abstract :
Target tracking is an important task in sensor networks, especially in mobile sensor networks. Flocking control is used to control a mobile sensor network to track a target. However, there are some existing problems in this control method, such as the problem of how to design an optimal flocking control algorithm with optimal flocking parameters to allow the network to catch up the target as fast as possible in order to minimize the tracking time and power consumption. This paper presents an optimization problem in flocking control for a mobile sensor network to track a moving target. A non convex optimization method based on genetic algorithms is developed. The overall purpose of this approach is to find out the optimal solutions of flocking parameters that deliver desired swarm behaviors to minimize the cost function. This cost function represents the time it takes all mobile sensors (robots) in the network to catch up the moving target. The experimental tests are obtained to demonstrate our approach.
Keywords :
concave programming; genetic algorithms; mobile radio; optimal control; target tracking; telecommunication congestion control; wireless sensor networks; genetic algorithms; mobile sensor network; moving target tracking; nonconvex optimization method; optimal flocking control; Algorithm design and analysis; Cost function; Energy consumption; Genetic algorithms; Mobile robots; Optimal control; Optimization methods; Robot sensing systems; Target tracking; Testing; Evolutionary algorithms; Flocking control; Mobile sensor networks; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346069
Filename :
5346069
Link To Document :
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