Young Researcher Paper Award 2021
🥇Winners

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 34, Number 5(2) (2022)
Copyright(C) MYU K.K.
pp. 1791-1801
S&M2929 Research Paper of Special Issue
https://doi.org/10.18494/SAM3750
Published: May 17, 2022

Session Traversal Utilities for Network Address Translator (STUN)-based Traversal Approach Using Port Assignment Prediction Mechanism [PDF]

Shaw-Hwa Hwang and Cheng-Yu Yeh

(Received November 26, 2021; Accepted March 9, 2022)

Keywords: network address translator (NAT), NAT traversal, session traversal utilities for NAT (STUN), real-time transport protocol (RTP), session initiation protocol (SIP)

This paper presents a STUN-based approach as a way to improve the NAT traversal success rate. As a preliminary step, 50 commercially available NATs are categorized according to the mapping and filtering rules. The port number assignment mechanism for each type of NAT is then deeply probed, and it is found to exert a strong influence on the success rate. On this basis, the combined use of STUN and the probed mechanism is presented as an effective way to improve the success rate. The high performance of this approach is demonstrated by a success rate of 94.36%, compared with 86.6% using STUN and 91.36% using a multi-hole punching counterpart. This approach is expected to be widely applied to peer-to-peer (P2P) communication apps, such as those used in voice and video streaming over IP (V2oIP), Internet of Things (IoT), and many more.

Corresponding author: Cheng-Yu Yeh


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Shaw-Hwa Hwang and Cheng-Yu Yeh, Session Traversal Utilities for Network Address Translator (STUN)-based Traversal Approach Using Port Assignment Prediction Mechanism, Sens. Mater., Vol. 34, No. 5, 2022, p. 1791-1801.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Smart Mechatronics for Energy Harvesting
Guest editor, Daisuke Yamane (Ritsumeikan University)
Call for paper


Special Issue on Sensing and Data Analysis Technologies for Living Environment, Health Care, Production Management, and Engineering/Science Education Applications: Part 2
Guest editor, Chien-Jung Huang (National University of Kaohsiung), Rey-Chue Hwang (I-Shou University), Ja-Hao Chen (Feng Chia University), and Ba-Son Nguyen (Lac Hong University)


Special Issue on 2021 International Virtual Conference of Green Materials Applied in Photoelectric Sensors (2021 ICGMAPS)
Guest editor, Yen-Hsun Su (National Cheng Kung University), Wei-Sheng Chen (National Cheng Kung University), and Chun-Chieh Huang (Cheng Shiu University)
Conference website


Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 4-2
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)


Special Issue on Collection, Processing, and Applications of Measured Sensor Signals
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)


Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 4-3
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)


Copyright(C) MYU K.K. All Rights Reserved.