DocumentCode
3454576
Title
Intelligent gain system based on complex and dynamical networks model
Author
Ling, QIN ; Rongqiang, HU
Author_Institution
Dept. of Inf. Eng., Wuhan Univ. of Technol., Wuhan
fYear
2007
fDate
15-18 Dec. 2007
Firstpage
2018
Lastpage
2022
Abstract
With the increased popularity of Wireless Sensor Networks (WSN) and an increasing development in the research fields of Complex and Dynamical Networks (CDN) in the last decade, up to now there have been no applications or systems used both prosperities between WSN and CDN. In this paper, the author creates an improved system-Intelligent Gain System (IGS) and intends to outline the framework of IGS based on the scale-free model of CDN. In view of hardware improvements, WSN would typically be used for longer periods of time and for multiple purposes [1]. In some cases they may even undergo evolutionary development and continuous adaptation. But how to enhance networks robustness with the increasing numbers of sensor nodes, which have directly led to more and more complex in networks, was presented in recent researches on WSN. To improve the networks robustness and communicated effectiveness of IGS, the topology of IGS based on the scale-free model of Complex and Dynamical Networks was introduced. The author suggests that the assessment for IGS should include the effectiveness and robustness. It was concluded that the comprehensive design applied in both between WSN and CDN would enhance further the communicated effectiveness and the network robustness.
Keywords
complex networks; intelligent networks; wireless sensor networks; complex network model; dynamical network model; evolutionary development; intelligent gain system; network robustness; scale-free model; wireless sensor network; Communication system control; Control systems; Intelligent networks; Intelligent robots; Intelligent sensors; Intelligent systems; Robotics and automation; Robustness; Transceivers; Wireless sensor networks; CDN-Complex and Dynamical Networks (CDN); Communication; Intelligent Gain System (IGS); Robustness; Wireless Sensor Networks (WSN);
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-1761-2
Electronic_ISBN
978-1-4244-1758-2
Type
conf
DOI
10.1109/ROBIO.2007.4522477
Filename
4522477
Link To Document