Study on Wireless Sensor Networks with Communication Constraints
|School||Huazhong University of Science and Technology|
|Course||Control Theory and Control Engineering|
|Keywords||Wireless sensor networks Data Fusion kalman filtering Switching system Random switching Stability H ∞ control Distributed architecture|
The wireless sensor network is a new network , which consists of a large number of low-cost , low power consumption , self - organization ability of sensor nodes . This network has fairly broad application prospects , there are a lot of applications in the military , environment monitoring and protection , and health and other fields . Currently , wireless sensor networks mainly focused on three aspects of the layered network protocols , sensor network management technologies and applications supporting technologies , not much research for the control of wireless sensor networks . This article is based on the point of view of control theory to study the problem of wireless sensor networks . First briefly introduces the concept of wireless sensor networks , structural features and research hot issues and related research , and for this paper briefly describes some of the main control theory stability theory , of switching systems research methods and uncertainty system research methods , as well as multi- sensor data fusion network . Observed signals to obtain an optimal environment in the filtering control problems in the wireless sensor , based on Kalman filtering theory and weighted fusion method , and the synthesis and analysis , the stability of wireless sensor networks into a band interference discrete switching system stability problems , and finally meet the sufficient condition for H ∞ control to get random switching system by using the method of Lyapunov function . Wireless sensor actuator networks is an important issue in the wireless sensor control study , in considering the conditions of a specific application instance , based on the characteristics of the distributed architecture , the establishment of an appropriate model , and through comprehensive analysis , design appropriate the controller , and the uncertainty H ∞ control stability theorem , a H ∞ control stability conditions . Finally, the simulation shows the effectiveness of the method . Finally, the full text of the work summarized in outlook and further research and development direction .