Performance Analysis of Machine Learning Algorithms With Clustering Protocol in Wireless Sensor Networks

被引：4

作者：

Gantassi, Rahma ^{[1
]}

Masood, Zaki ^{[1
]}

Lim, Sol ^{[1
]}

Sias, Quota Alief ^{[1
]}

Choi, Yonghoon ^{[1
]}

机构：

[1] Chonnam Natl Univ, Dept Elect Engn, Gwangju 61186, South Korea

来源：

2023 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION, ICAIIC | 2023年

基金：

新加坡国家研究基金会;

关键词：

Clustering protocol; Machine Learning; Quality of Service; Wireless Sensor Networks;

D O I：

10.1109/ICAIIC57133.2023.10067019

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In wireless sensor networks (WSN), machine learning (ML) algorithms have an important role in cluster head (CH) selection according to several quality of service (QoS) metrics. This paper provides a comprehensive review and a case study on an experimental testbed of the implementation of various ML algorithms within various clustering protocols in WSNs.

引用

页码：543 / 546

页数：4

共 10 条

[1]

Ali B, 2019, INT J COMPUT SCI NET, V19, P18

[2] Energy efficient grid based k-means clustering algorithm for large scale wireless sensor networks [J].

Ben Gouissem, Bechir ;

Gantassi, Rahma ;

Hasnaoui, Salem .

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2022, 35 (14)

[3]

Ben Yagouta Abdelbari, 2017, 2017 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC). Proceedings, P60, DOI 10.1109/IINTEC.2017.8325914

[4]

Gantassi Rahma, 2020, Web, Artificial Intelligence and Network Applications. Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications (WAINA-2020). Advances in Intelligent Systems and Computing (AISC 1150), P299, DOI 10.1007/978-3-030-44038-1_27

[5]

Gantassi R., 2022, IEEE ACCESS

[6]

Gantassi R., 2021, PROC ICC 2021 IEEE I, P1

[7] Optimizing Quality of Service of Clustering Protocols in Large-Scale Wireless Sensor Networks with Mobile Data Collector and Machine Learning [J].

Gantassi, Rahma ;

Ben Gouissem, Bechir ;

Cheikhrouhou, Omar ;

El Khediri, Salim ;

Hasnaoui, Salem .

SECURITY AND COMMUNICATION NETWORKS, 2021, 2021

[8]

Liu JL, 2011, Int J Mach Learn Comput, V1, P79

[9] A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting [J].

Masood, Zaki ;

Gantassi, Rahma ;

Ardiansyah ;

Choi, Yonghoon .

ENERGIES, 2022, 15 (07)

[10]

Xiao H., PROC 2019 IEEE21ST I, P2719

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