Topic Editors

Prof. Dr. Chun-Yen Chang
Graduate Institute of Science Education and Department of Earth Sciences, National Taiwan Normal University, Taipei, Taiwan
Prof. Dr. Teen-­Hang Meen
Department of Electronic Engineering, National Formosa University, Yunlin 632, Taiwan
Prof. Dr. Charles Tijus
Director of the Cognitions Humaine et Artificielle Laboratory, Professeur de Psychologie Cognitive – Université, Paris 8, France
Prof. Dr. Po-Lei Lee
Department of Electrical Engineering, National Central University, Taoyuan 32001, Taiwan

IOT, Communication and Engineering

Abstract submission deadline
31 December 2022
Manuscript submission deadline
31 March 2023
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Topic Information

Dear Colleagues,

4th IEEE Eurasia Conference on IOT, Communication and Engineering 2022 (IEEE ECICE 2022) will be held in Yunlin, Taiwan on October 28-30, 2022, and it will provide a unified communication platform for researchers with IOT and Advanced Manufacturing topics. The booming economic development in Asia, particularly the leading manufacturing industries from auto-mobile, machinery, computer, communication, consumer product, flat panel display to semiconductor and micro/nano areas have attracted intense attention among universities, research institutions and many industrial corporations. This conference aims to provide a broad international forum for world researchers, engineers, and professionals working in the areas of IOT and manufacturing to discuss and exchange various scientific, technical and management aspects across the wide spectrum of the society. The theme of the conference is set as smart manufacturing, focusing on new and emerging technologies. This topic “IOT, Communication and Engineering” includes 5 journals, Symmetry, Applied Science, Sensors, Coatings and Energies to publish excellent papers about relative fields. It enables interdisciplinary collaboration of science and engineering technologists in the academic and industrial fields, as well as networking internationally. Papers with innovative idea or research results in all aspects of advanced manufacture are encouraged to submit.

Topics of interest include as followings:

  • Internet & IOT technology
  • Communication Science & Engineering
  • Computer Science & Information Technology
  • Computational Science & Engineering
  • Electrical & Electronic Engineering
  • Mechanical & Automation Engineering
  • Advanced Machining and Forming Processes
  • Micro- and Nano-Fabrication
  • Surface manufacturing processes
  • Gears Manufacturing
  • Bio-medical Manufacturing
  • Precision Engineering Measurement
  • Robotics and Automation
  • Additive Manufacturing Technology
  • Smart Manufacturing Technology for Industry 4.0
  • Environmental Sustainability
  • Others

Prof. Dr. Chun-Yen Chang
Prof. Dr. Teen-­Hang Meen
Prof. Dr. Charles Tijus
Prof. Dr. Po-Lei Lee
Topic Editors

Keywords

  • Internet of Thing
  • communication
  • engineering

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.838 3.7 2011 17.4 Days 2300 CHF Submit
Coatings
coatings
3.236 3.9 2011 14.3 Days 2000 CHF Submit
Energies
energies
3.252 5.0 2008 16.2 Days 2200 CHF Submit
Sensors
sensors
3.847 6.4 2001 16.2 Days 2400 CHF Submit
Symmetry
symmetry
2.940 4.3 2009 13.8 Days 1800 CHF Submit

Published Papers (7 papers)

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Article
Backscatter-Assisted Collision-Resilient LoRa Transmission
Sensors 2022, 22(12), 4471; https://doi.org/10.3390/s22124471 - 13 Jun 2022
Abstract
Low-power wide-area networks (LPWANs), such as LoRaWAN, play an essential role and are expanding quickly in miscellaneous intelligent applications. However, the collision problem is also expanding significantly with the mass promotion of LPWAN nodes and providing collision-resilient techniques that are urgently needed for [...] Read more.
Low-power wide-area networks (LPWANs), such as LoRaWAN, play an essential role and are expanding quickly in miscellaneous intelligent applications. However, the collision problem is also expanding significantly with the mass promotion of LPWAN nodes and providing collision-resilient techniques that are urgently needed for these applications. This paper proposes BackLoRa, a lightweight method that enables collision-resilient LoRa transmission with extra propagation information provided by backscatter tags. BackLoRa uses several backscatter tags to create multipath propagation features related to the LoRa nodes’ positions and offers a lightweight algorithm to extract the feature and correctly distinguish each LoRa node. Further, BackLoRa proposes a quick-phase acquisition algorithm with low time complexity that can carry out the iterative recovery of symbols for robust signal reconstructions in low-SNR conditions. Finally, comprehensive experiments were conducted in this study to evaluate the performance of BackLoRa systems. The experimental results show th compared with the existing scheme, our scheme can reduce the symbol error rate from 65.3% to 5.5% on average and improve throughput by 15× when SNR is −20 dB. Full article
(This article belongs to the Topic IOT, Communication and Engineering)
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Article
Enhanced Flow Control for Low Latency in QUIC
Energies 2022, 15(12), 4241; https://doi.org/10.3390/en15124241 - 09 Jun 2022
Abstract
Low-latency communication is becoming more popular as applications that demand real-time interaction, such as autonomous mobile vehicles and tactile Internet, have recently gained prominence. In this paper, we propose a fast autotuning algorithm to support low-latency communication in the Quick UDP Internet Connection [...] Read more.
Low-latency communication is becoming more popular as applications that demand real-time interaction, such as autonomous mobile vehicles and tactile Internet, have recently gained prominence. In this paper, we propose a fast autotuning algorithm to support low-latency communication in the Quick UDP Internet Connection (QUIC) protocol. The transmission rate is adjusted by the fast autotuning based on the quantity of unused buffers. If the buffer has large free space, the receive window is quickly enlarged to increase the transmission rate and reduce the transmission delay. The fast autotuning is evaluated in this paper through extensive simulations, and the results show that the fast autotuning effectively reduces the transmission latency and increases throughput. Full article
(This article belongs to the Topic IOT, Communication and Engineering)
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Article
Design and Implementation of Real-Time Localization System (RTLS) Based on UWB and TDoA Algorithm
Sensors 2022, 22(12), 4353; https://doi.org/10.3390/s22124353 - 08 Jun 2022
Abstract
Nowadays, accurate localization plays an essential role in many fields, such as target tracking and path planning. The challenges of indoor localization include inadequate localization accuracy, unreasonable anchor deployment in complex scenarios, lack of stability, and the high cost. So, the universal positioning [...] Read more.
Nowadays, accurate localization plays an essential role in many fields, such as target tracking and path planning. The challenges of indoor localization include inadequate localization accuracy, unreasonable anchor deployment in complex scenarios, lack of stability, and the high cost. So, the universal positioning technologies cannot meet the real application requirements scarcely. To overcome these shortcomings, a comprehensive ultra wide-band (UWB)-based real-time localization system (RTLS) is presented in this paper. We introduce the architecture of a real-time localization system, then propose a new wireless clock synchronization (WCS) scheme, and finally discuss the time difference of arrival (TDoA) algorithm. We define the time-base selection strategy for the TDoA algorithm, and we analyze the relationship between anchor deployment and positioning accuracy. The extended Kalman filter (EKF) method is presented for non-linear dynamic localization estimation, and it performs well in terms of stability and accuracy on moving targets. Full article
(This article belongs to the Topic IOT, Communication and Engineering)
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Article
Vulnerability Analysis of LTE-R Train-to-Ground Communication Time Synchronization
Appl. Sci. 2022, 12(11), 5572; https://doi.org/10.3390/app12115572 - 30 May 2022
Abstract
The time synchronization of LTE-R train-to-ground communication systems plays an important role in ensuring the safety of high-speed railways. In the LTE-R time synchronization process, existing problems, such as the time synchronization message broadcast address and LTE-R all-IP architecture, are vulnerable to attack. [...] Read more.
The time synchronization of LTE-R train-to-ground communication systems plays an important role in ensuring the safety of high-speed railways. In the LTE-R time synchronization process, existing problems, such as the time synchronization message broadcast address and LTE-R all-IP architecture, are vulnerable to attack. In order to analyze the impact of these problems, we propose a new vulnerability analysis method of LTE-R time synchronization based on stochastic Petri nets. Firstly, we construct a stochastic Petri net model of an LTE-R time synchronization process under attack. Secondly, steady-state probability expressions are obtained using the model isomorphism Markov chain. Finally, bychanging the firing rate of several key vulnerable nodes, the relationship curve between the firing rate and the steady-state probability of the clock node is obtained. Simulations show that the vulnerability of LTE-R time synchronization is most affected by the attack on eNodeB of the LTE-R base station. The results can provide a certain theoretical basis for the evolution of high-speed railway GSM-R communication systems to LTE-R. Full article
(This article belongs to the Topic IOT, Communication and Engineering)
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Article
A Rapid Deployment Mechanism of Forwarding Rules for Reactive Mode SDN Networks
Symmetry 2022, 14(5), 1026; https://doi.org/10.3390/sym14051026 - 17 May 2022
Abstract
In reactive mode software-defined networking (SDN) networks, a new initiated flow requires back-and-forth communications between the controller and the switches along the forwarding route. As SDN is getting popularly accepted, many studies have reported on how to reduce the amount of communication traffic [...] Read more.
In reactive mode software-defined networking (SDN) networks, a new initiated flow requires back-and-forth communications between the controller and the switches along the forwarding route. As SDN is getting popularly accepted, many studies have reported on how to reduce the amount of communication traffic and to release the controller’s loading. Several techniques have been proposed, such as proactive and active mode integration, MPLS adoption, and various forwarding rule installation techniques. In this paper, we adopt the idea of the tunnel penetration technique, called the tunnel boring machine in SDN or SDN-TBM, to effectively cut down the traffic between switches and the controller as well as to speed up packet delivery. Using the TBM mechanism, the communication symmetry between the controller and the switches on the path is broken and transformed into asymmetry. Only the first and last switches of each application flow need to make forwarding queries to the controller, and all intermediate switches simply forward packets consisting of the forwarding information needed to determine the next-hop switch. An M/M/1 queueing model is developed to verify the feasibility and efficiency of the proposal. Under the simulation of more than a million flows with 3–8 intermediate switches, the packet sojourn time using SDN-TBM mechanism is less than that of adopting the conventional SDN and JumpFlow model. Additionally, by adopting SDN-TBM, both the number of packet-in and packet-out packets and the controller’s loading are significantly reduced. Full article
(This article belongs to the Topic IOT, Communication and Engineering)
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Essay
Optimal Energy Efficiency Used DDPG in IRS-NOMA Wireless Communications
Symmetry 2022, 14(5), 1018; https://doi.org/10.3390/sym14051018 - 17 May 2022
Abstract
Combining Intelligent Reflecting Surface (IRS) with Non-Orthogonal Multiple Access (NOMA) technology is a viable option for increasing communication performance. Firstly, a NOMA downlink transmission system assisted by IRS is established in this study, for maximizing its energy efficiency. Then a Deep Deterministic Policy [...] Read more.
Combining Intelligent Reflecting Surface (IRS) with Non-Orthogonal Multiple Access (NOMA) technology is a viable option for increasing communication performance. Firstly, a NOMA downlink transmission system assisted by IRS is established in this study, for maximizing its energy efficiency. Then a Deep Deterministic Policy Gradient (DDPG) algorithm with symmetric properties is used to further optimize the energy efficiency of the system by intelligently adjusting the beam-forming matrix of the access point (AP) and the phase-shift matrix of the IRS. According to the simulation results, the proposed IRS-assisted NOMA downlink network based on the DDPG algorithm presented a considerably higher energy efficiency than the orthogonal multiple access network. Full article
(This article belongs to the Topic IOT, Communication and Engineering)
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Article
An Enhanced Routing and Scheduling Mechanism for Time-Triggered Traffic with Large Period Differences in Time-Sensitive Networking
Appl. Sci. 2022, 12(9), 4448; https://doi.org/10.3390/app12094448 - 28 Apr 2022
Abstract
In the field of the automotive area as well as industrial control, real-time communication requires deterministic delivery with low delay and bounded jitter. Real-time communication in these networks requires transmission schedule and routing, which is an NP-hard problem. In this paper, we present [...] Read more.
In the field of the automotive area as well as industrial control, real-time communication requires deterministic delivery with low delay and bounded jitter. Real-time communication in these networks requires transmission schedule and routing, which is an NP-hard problem. In this paper, we present an offline routing and scheduling method based on integer linear programming (ILP), with a flow preprocessing step to explore the period correlation of time-triggered (TT) traffic in time-sensitive networking (TSN). First, a multiperiod flow routing and scheduling algorithm based on flow classification is proposed to improve the scheduling success rate and reduce execution time. The flow classification technique obtained a more fine-grained TT traffic classification, which can be superimposed on any routing and scheduling algorithms. Second, an adaptive period compensation scheduling algorithm based on flow classification is proposed in simple network architecture conditions. The evaluations demonstrate that the proposed algorithms improve scheduling success rate and reduce execution time compared with baseline methods in all test cases. In addition, we can adapt our different proposed algorithms in different network architecture conditions to schedule various flows with different periods and sizes. Full article
(This article belongs to the Topic IOT, Communication and Engineering)
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