Id3 Based Periodic Sampled Classifier Algorithm for The Enhancement of Routing Protocol in Wireless Sensor Networks

IF 1.2 4区地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS

Periodico Di Mineralogia Pub Date : 2022-04-14 DOI:10.37896/pd91.4/91429

Francis Twinkle Graf, C. Arunachalaperumal

引用次数: 0

Abstract

Routing protocols for a Wireless Sensor Network (WSN) accomplishes the data dissemination between sensor nodes by preferring the next best node in the routing path. Supervised machine learning comes up with many strategies which can upgrade this next node selection for the range of applications. In this paper, ID3 based next node selection algorithm which uses entropy values for path resumption has been proposed. The simulation study of the algorithm showed that it performs well when compared to k-Nearest Neighbour and Naive Bayes algorithms in terms of evaluation metrics obtained from the confusion matrix and F1-score.

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基于Id3的周期性采样分类器算法对无线传感器网络路由协议的增强

无线传感器网络(WSN)的路由协议通过优先选择路由路径中的次优节点来实现传感器节点之间的数据传播。监督机器学习提出了许多策略，可以为应用范围升级下一个节点选择。本文提出了一种基于ID3的下一节点选择算法，该算法利用熵值进行路径恢复。仿真研究表明，该算法在从混淆矩阵和F1-score获得的评价指标方面，与k-Nearest Neighbour和Naive Bayes算法相比，具有较好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Periodico Di Mineralogia 地学-地球化学与地球物理

CiteScore

1.50

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Periodico di Mineralogia is an international peer-reviewed Open Access journal publishing Research Articles, Letters and Reviews in Mineralogy, Crystallography, Geochemistry, Ore Deposits, Petrology, Volcanology and applied topics on Environment, Archaeometry and Cultural Heritage. The journal aims at encouraging scientists to publish their experimental and theoretical results in as much detail as possible. Accordingly, there is no restriction on article length. Additional data may be hosted on the web sites as Supplementary Information. The journal does not have article submission and processing charges. Colour is free of charges both on line and printed and no Open Access fees are requested. Short publication time is assured. Periodico di Mineralogia is property of Sapienza Università di Roma and is published, both online and printed, three times a year.