Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Special Section: Iteration, Dynamics and Nonlinearity
Guest editors: Manuel Fernández-Martínez and Juan L.G. Guirao
Article type: Research Article
Authors: Hua, Donga | Wang, Longjuna | Xu, Yufenga; * | Li, Hongyanb | Gombay, N.c
Affiliations: [a] South China University of Technology, Guangzhou, China | [b] School of Information Engineering, Changsha Medical University, Changsha, China | [c] Div Math, SPMS MAS 05-43, Singapore, Singapore
Correspondence: [*] Corresponding author. Yufeng Xu, South China University of Technology, Guangzhou, China. E-mail: [email protected].
Abstract: In order to reduce energy consumption of network nodes, it is necessary to design a monitoring system for energy consumption of network nodes. When the current network nodes energy consumption monitoring system is used to monitor and control energy consumption of nodes, there are problems of low monitoring efficiency and poor energy saving. A fuzzy system design method is proposed in this paper for energy consumption monitoring of wireless sensor network nodes. The energy consumption monitoring daemon on sensor nodes, the energy consumption monitoring program on gateway nodes and the control program on the host PC in the fuzzy system for energy consumption monitoring of wireless sensor network nodes are designed and analyzed. The change of energy in nodes is regarded as an important condition for selecting work or sleep. The fuzzy power control algorithm is used to control the node sleep mechanism and the node wake-up mechanism in the wireless sensor network to complete the design of the fuzzy system for energy consumption monitoring of wireless sensor network nodes. The experimental results show that the proposed method has high monitoring efficiency and energy saving performance.
Keywords: Wireless sensor, network nodes, energy consumption monitoring, fuzzy system
DOI: 10.3233/JIFS-169752
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4319-4328, 2018
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]