A Takagi-Sugeno Fuzzy-Based Adaptive Transmission Method in Wireless Sensor Networks

被引：0

作者：

Nishii, Daisuke ^{[1
]}

Ikeda, Makoto ^{[2
]}

Barolli, Leonard ^{[2
]}

机构：

[1] Fukuoka Inst Technol, Grad Sch Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka 8110295, Japan

[2] Fukuoka Inst Technol, Dept Informat & Commun Engn, Higashi Ku, 3-30-1 Wajiro Higashi, Fukuoka 8110295, Japan

来源：

ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING, 3PGCIC-2021 | 2022年 / 343卷

关键词：

T-S Fuzzy; WSN; Adaptive transmission control; SYSTEM; LOGIC;

D O I：

10.1007/978-3-030-89899-1_30

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Clustering, data compression and screening of sensor data, optimization methods and other intelligent approaches to increase the lifetime of sensor networks have been widely researched. In this paper, we propose an intelligent adaptive transmission control system based on Takagi-Sugeno (T-S) fuzzy inference model in Wireless Sensor Networks (WSNs). From the evaluation results, we observed that the proposed method reduces the number of transmissions by considering multiple parameters compared with the conventional method.

引用

页码：279 / 288

页数：10

共 50 条

[11] A nonlinear forecasts combination method based on Takagi-Sugeno fuzzy systems
Fiordaliso, A
INTERNATIONAL JOURNAL OF FORECASTING, 1998, 14 (03) : 367 - 379
[12] A meshless method using the Takagi-Sugeno fuzzy model
Liao, Ying-Po
Lin, Shiu-Shin
JOURNAL OF ENGINEERING MATHEMATICS, 2012, 72 (01) : 159 - 175
[13] Adaptive Takagi-Sugeno Fuzzy Model for Pneumatic Artificial Muscles
Xia, Xiuze
Cheng, Long
2021 13TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2021, : 305 - 311
[14] Approximations of large rule Takagi-Sugeno fuzzy controller by four rule Takagi-Sugeno fuzzy controller
Arya, RK
Mitra, R
Kumar, V
2004 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2004, : 1341 - +
[15] Takagi-Sugeno Fuzzy Sensor Faults Estimation of an induction motor
Allouche, M.
Chaabane, M.
Soussi, M.
Mehdi, D.
Hajjaji, A.
18TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, 2010, : 243 - 248
[16] Adaptive Sliding Mode Control for Takagi-Sugeno Fuzzy Systems
Zhang, Jinhui
Shi, Peng
Xia, Yuanqing
Fu, Mengyin
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 6703 - 6708
[17] Takagi-Sugeno Fuzzy-Based CNF Control Approach Considering a Class of Constrained Nonlinear Systems
Mollabashi, H. Ebrahimi
Mazinan, A. H.
Hamidi, H.
IETE JOURNAL OF RESEARCH, 2019, 65 (06) : 872 - 886
[18] Improved Takagi-Sugeno Fuzzy Approach
Araujo, Ernesto
2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2008, : 1156 - 1160
[19] Dissipative Filter Design for Takagi-Sugeno Fuzzy Neural Networks
Lee, Kyu-Chul
Choi, Hyun-Duk
Kim, Dae-Ki
Ahn, Choon-Ki
Lim, Myo-Taeg
2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2015, : 181 - 185
[20] Simulation and Experimental Validation for Takagi-Sugeno Fuzzy-Based Li-ion Battery Model
Doubabi, Hajar
Ezzara, Abderrahim
Salhi, Issam
INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2022, 12 (01): : 339 - 348

← 1 2 3 4 5 →