Node coordination mechanism based on distributed estimation and control in wireless sensor and actuator networks

Wireless sensor and actuator networks （WSANs） have a wide range of applications. To perform effective sensing and acting tasks, multiple coordination mechanisms among the nodes are required. As attempt in this direction, this paper describes collaborative estimation and control algorithms design for...

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Bibliographic Details
Published inJournal of control theory and applications Vol. 11; no. 4; pp. 570 - 578
Main Authors Mo, Lei, Xu, Bugong
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2013
Key Laboratory of Autonomous Systems and Network Control, Ministry of Education,College of Automation Science and Engineering, South China University of Technology, Guangzhou Guangdong 510640, China
Subjects
Actuators
Allocations
Complexity
Computational Intelligence
Control
Control and Systems Theory
Control theory
Coordination models
Design engineering
Engineering
Mechatronics
Networks
Optimization
Robotics
Sensors
Systems Theory
Tasks
任务分配问题
分布式估计
执行器
控制
无线传感器
机制
点协调
网络
Federated Kalman filter
Distributed control
Wireless sensor and actuator networks
Task allocation
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ISSN1672-6340
1993-0623
DOI10.1007/s11768-013-2266-9

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Summary:Wireless sensor and actuator networks （WSANs） have a wide range of applications. To perform effective sensing and acting tasks, multiple coordination mechanisms among the nodes are required. As attempt in this direction, this paper describes collaborative estimation and control algorithms design for WSANs. First, a sensor-actuator coordination model is proposed based on distributed Kalman filter in federated configuration. This method provides the capability of fault tolerance and multi-source information fusion. On this basis, an actuator-actuator coordination model based on even-driven task allocation is introduced. Actuators utilize fused sensory information to adjust their action that incur the minimum energy cost to the system subject to the constraints that user＇s preferences regarding the states of the system are approximately satisfied. Finally, according to system requirements, a distributed algorithm is proposed to solve the task allocation problem. Simulations demonstrate the effectiveness of our proposed methods.
Bibliography:44-1600/TP
Wireless sensor and actuator networks （WSANs） have a wide range of applications. To perform effective sensing and acting tasks, multiple coordination mechanisms among the nodes are required. As attempt in this direction, this paper describes collaborative estimation and control algorithms design for WSANs. First, a sensor-actuator coordination model is proposed based on distributed Kalman filter in federated configuration. This method provides the capability of fault tolerance and multi-source information fusion. On this basis, an actuator-actuator coordination model based on even-driven task allocation is introduced. Actuators utilize fused sensory information to adjust their action that incur the minimum energy cost to the system subject to the constraints that user＇s preferences regarding the states of the system are approximately satisfied. Finally, according to system requirements, a distributed algorithm is proposed to solve the task allocation problem. Simulations demonstrate the effectiveness of our proposed methods.
Wireless sensor and actuator networks; Federated Kalman filter; Task allocation; Distributed control
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ISSN:1672-6340
1993-0623
DOI:10.1007/s11768-013-2266-9