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Electronics
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Application of Wireless Signal Processing & Network
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Application of Wireless Signal Processing & Network

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 5018

Special Issue Editors

Prof. Dr. Wei Dong

E-Mail Website
Guest Editor
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
Interests: IoT; edge computing; mobile computing; wireless networks; computer networks
Prof. Dr. Chih-Shun Hsu

E-Mail Website
Guest Editor
Department of Information Management, Shih Hsin University, No. 1, Ln. 17, Sec. 1, Muzha Rd., Wenshan District, Taipei City 116, Taiwan
Interests: wireless sensor network; routing protocols; network programming; wireless computing; wireless networks; ad hoc networks; mobile ad hoc network
Prof. Dr. Chih-Min Chao

E-Mail Website
Guest Editor
Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan
Interests: wireless networks; mobile computing; computer network

Special Issue Information

Dear Colleagues,

The increasing number of smart wireless devices brings forward an inevitable need for intelligent wireless signal processing and netwoking technologies. Recent years have seen newly emerged wireless technologies such as LoRa, BLE, 5G, WiFi 6, etc. These new technologies bring us huge opportunites for building highly efficent networks as well as developing diverse sensing applications such as sleep monitoring, respiration monitoring, gesture recognition and so on.

The objective of this Special Issue is to assemble high-quality research papers on emerging theories, algorithms, techniques and platforms for solving the challenging problems related to intelligent wireless signal processing, networking, and novel applications.

Topics include, but are not limited to the following:

  • Wireless sensing techniques
  • Novel applications of wireless signals
  • Wireless networks
  • Backscatter communication and wireless power
  • Applications of machine learning to wireless sensing or networking
  • Experimental platforms and infrastructures for wireless research
  • Millimeter-wave and terahertz communications
  • 5G and Next generation of mobile networks
  • Security and privacy issues/solutions for wireless systems
  • Wireless localization and tracking

Prof. Dr. Wei Dong
Prof. Dr. Chih-Shun Hsu 
Prof. Dr. Chih-Min Chao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wireless signal and its novel applications
  • wireless sensing algorithms
  • wireless networking algorithms
  • wireless localization

Published Papers (4 papers)

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Research

11 pages, 4405 KiB  
Article
Fingerprint Fusion Location Method Based on Wireless Signal Distribution Characteristic
by Jianlei Yang, Baoguo Yu, Shichen Li, Xuan Li, Shuo Li, Cheng Ci and Hong Wu
Electronics 2023, 12(11), 2517; https://doi.org/10.3390/electronics12112517 - 2 Jun 2023
Viewed by 834
Abstract
In the context of the rapid development of the Internet and the Internet of Things technology, services based on location information have received more and more attention, and people gradually have higher expectations for the quality and experience of positioning services. At present, [...] Read more.
In the context of the rapid development of the Internet and the Internet of Things technology, services based on location information have received more and more attention, and people gradually have higher expectations for the quality and experience of positioning services. At present, outdoor positioning technology is becoming mature, but different from empty outdoor areas, there is a highly complex indoor environment with many interference factors, so it is difficult to receive effective satellite signals. To realize the smooth transition of whole-field positioning, it is necessary to study an economical and efficient indoor positioning technology. The existing indoor positioning technologies have some problems, so this paper comprehensively uses the resource-rich Wi-Fi signal, Frequency Modulation (FM) signal and Digital Terrestrial Multimedia Broadcast (DTMB) signal as the positioning data sources, and proposes a fingerprint fusion positioning method based on the wireless signal distribution characteristic. Experiments show that the proposed method improves localization accuracy by 30% compared to localization with Wi-Fi alone. Full article
(This article belongs to the Special Issue Application of Wireless Signal Processing & Network)
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20 pages, 2985 KiB  
Article
Anti-Jamming Low-Latency Channel Hopping Protocol for Cognitive Radio Networks
by Yu-Heng Hsieh, Chih-Min Chao, Chih-Yu Lin and Chun-Chao Yeh
Electronics 2023, 12(8), 1811; https://doi.org/10.3390/electronics12081811 - 11 Apr 2023
Cited by 1 | Viewed by 910
Abstract
In order to increase channel usage efficiency, unlicensed users within a Cognitive Radio Network (CRN) are permitted to utilize channels that are not currently occupied by licensed users. However, ensuring communication between users in a CRN remains a challenge. To overcome this issue, [...] Read more.
In order to increase channel usage efficiency, unlicensed users within a Cognitive Radio Network (CRN) are permitted to utilize channels that are not currently occupied by licensed users. However, ensuring communication between users in a CRN remains a challenge. To overcome this issue, a variety of channel hopping protocols have been developed. Time-invariant channel hopping protocols are vulnerable to attacks, so several channel hopping protocols that are resistant to jamming attacks have been proposed. In the majority of existing anti-jamming protocols, users create their channel hopping sequence using a channel hopping matrix, with the rendezvous probability between two users being determined by the structure of their respective channel hopping matrices. The channel hopping matrices designed by existing methods still have room for improvement. To overcome the difficulty of guaranteeing communication between any pair of users, while also providing protection against jamming attacks and minimizing the time to rendezvous (TTR) in a CRN, this paper presents the Anti-jamming Low-Latency channel hopping (ALL) protocol. This protocol allows a sender to adjust their channel hopping matrix structure to match that of the receiver, thereby improving the chances of successful rendezvous between users. Based on the simulation results, the ALL protocol performs better than the recently proposed practical solution, OLAA, by up to 33% in network throughput and 30% in TTR. On average, ALL outperforms OLAA by 25% in network throughput and 20% in TTR. Full article
(This article belongs to the Special Issue Application of Wireless Signal Processing & Network)
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14 pages, 968 KiB  
Article
Trust-Degree-Based Secure Relay Selection in SWIPT-Enabled Relay Networks
by Ran Gao, Ling Xu, Dan Xu and Jianrong Bao
Electronics 2023, 12(2), 429; https://doi.org/10.3390/electronics12020429 - 13 Jan 2023
Cited by 1 | Viewed by 1049
Abstract
In this paper, we investigate the trust-degree-based secure relay selection in simultaneous wireless information and power transfer (SWIPT)-enabled relay networks. In particular, we optimize the interference power by selecting the appropriate relay and time division ratio on the condition of both the secure [...] Read more.
In this paper, we investigate the trust-degree-based secure relay selection in simultaneous wireless information and power transfer (SWIPT)-enabled relay networks. In particular, we optimize the interference power by selecting the appropriate relay and time division ratio on the condition of both the secure transmission and trust degree. First, by applying the security capacity constraint, we derive the expressions of the time division ratio and relay interference power concerning the trust degree. Then, we discuss the different results for different trust degrees and determine the set of trust degrees to guarantee secure communications. Finally, according to the different trust degrees, we compute the needed interference power for each relay and make a selection to obtain the optimal performance under relay networks. Simulation results show that with the known trust degree the proposed algorithm obtains the appropriate relay and time division ratio, reduces energy consumption, and guarantees an achievable security rate. Full article
(This article belongs to the Special Issue Application of Wireless Signal Processing & Network)
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19 pages, 5100 KiB  
Article
Sequential Transient Detection for RF Fingerprinting
by Selçuk Taşcıoğlu, Memduh Köse and Gökhan Soysal
Electronics 2022, 11(20), 3333; https://doi.org/10.3390/electronics11203333 - 16 Oct 2022
Cited by 1 | Viewed by 1469
Abstract
In this paper, a sequential transient detection method for radio frequency (RF) fingerprinting used in the identification of wireless devices is proposed. To the best knowledge of the authors, sequential detection of transient signals for RF fingerprinting has not been considered in the [...] Read more.
In this paper, a sequential transient detection method for radio frequency (RF) fingerprinting used in the identification of wireless devices is proposed. To the best knowledge of the authors, sequential detection of transient signals for RF fingerprinting has not been considered in the literature. The proposed method is based on an approximate implementation of the generalized likelihood ratio algorithm. The method can be implemented online in a recursive manner with low computational and memory requirements. The transients of wireless transmitters are detected by using the likelihood ratio of the observations without the requirement of any a priori knowledge about the transmitted signals. The performance of the method was evaluated using experimental data collected from 16 Wi-Fi transmitters and compared to those of two existing methods. The experimental test results showed that the proposed method can be used to detect the transient signals with a low detection delay. Our proposed method estimates transient starting points 20-times faster compared to an existing robust method, as well as providing a classification performance of a mean accuracy close to 95%. Full article
(This article belongs to the Special Issue Application of Wireless Signal Processing & Network)
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