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
收藏
页码：279 / 288
页数：10
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