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Featured Advances in Real-Time Networks
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Featured Advances in Real-Time Networks

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

Deadline for manuscript submissions: closed (15 October 2024) | Viewed by 4283

Special Issue Editors

Prof. Dr. Yunquan Dong

E-Mail Website
Guest Editor
School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 211544, China
Interests: wireless network communicatios
Special Issues, Collections and Topics in MDPI journals
Dr. Zhengchuan Chen

E-Mail Website
Guest Editor
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
Interests: network information theory; beyond 5G wireless communication; Internet of Things; beyond 5G
Dr. Qiong Wu

E-Mail Website
Guest Editor
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Interests: VAENTs; autonomous driving communication technology; edge computing and machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of the Internet of Things (IoT) and Industry 4.0, an increasingly large number of smart devices are connected via the internet. This has spawned numerous time-critical applications, such as smart grid, remote control, auto-driving, factory automation, and so on. In these time-critical applications, the smart devices are required to deliver information with ultra-low or even deterministic delays, which is critical to the system performance but difficult to achieve in practice.

Many efforts have been made to improve the timeliness of communications. Among them, the wired time-sensitive network (TSN) and the wireless 5G ultra-reliable low-latency communications (URLLC) network are the most representative ones. Moreover, the age of information (AoI) is a concept that has recently gained prominence as a superior performance metric for characterizing the freshness of information at the receiver. Under this framework, we are able to optimize the signal processing, multi-user accessing, and networking for current and future real-time applications.

The objective of this Special Issue is to collect original manuscripts that demonstrate and explore current advances in various aspects of wire-line/wireless time-critical communications, including but not limited to, the following:

  • Fundamental results on Age of Information in queues
  • Age of Information-based analysis and optimization
  • Age of Information-based signal sampling and estimation
  • Age of Information and cloud/fog/edge computing
  • Age of Information-oriented scheduling for wireless multi-user accessing
  • Advances in time-sensitive networking
  • Vehicular ad hoc networks (VANETs)
  • Advances in B5G URLLC
  • Advances in C-V2X
  • Wireless deterministic networking
  • Capturing network states with snap-shot communications
  • Orthogonal chirp division multiplexing (OCDM)-based signal processing and networking
  • Reinforcement learning and federated learning for real-time systems
  • Experimental study of information freshness
  • Green smart Internet of Things
  • Multimedia information processing and transmission
  • Wireless communication physical layer security
  • Industrial Internet, Tactile Internet, and Energy Internet

Prof. Dr. Yunquan Dong
Dr. Zhengchuan Chen
Dr. Qiong Wu
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.

 

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Published Papers (4 papers)

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Research

16 pages, 5035 KiB  
Article
Inverse Coupled Simulated Annealing for Enhanced OSPF Convergence in IoT Networks
by Chengsheng Pan, Huangjie Lu, Huaifeng Shi, Yingzhi Wang and Lishang Qin
Electronics 2024, 13(22), 4332; https://doi.org/10.3390/electronics13224332 - 5 Nov 2024
Viewed by 438
Abstract
The current Internet of Things (IoT) network structure is evolving from small-scale distributed systems to a large-scale hierarchical collaboration between backbone and access networks. In this context, the dynamic changes in backbone node connections and the surge in service demands, coupled with sluggish [...] Read more.
The current Internet of Things (IoT) network structure is evolving from small-scale distributed systems to a large-scale hierarchical collaboration between backbone and access networks. In this context, the dynamic changes in backbone node connections and the surge in service demands, coupled with sluggish fault detection speeds, significantly shorten effective service transmission time. To address this issue, this paper proposes an inverse coupled simulated annealing for enhanced OSPF route convergence in IoT networks (OSPF-ICSA). Initially, the link state is derived from the statistical characteristics of Hello packets, while the aggregated characteristics of the link state are employed to characterize the node state, providing data support for the reverse coupled simulated annealing algorithm. Subsequently, the Hello packet is refined, and a mechanism is designed to synchronize OSPF intervals and transmit node states. This ensures that nodes within the same subnet synchronize their sending intervals and fault detection times while sharing their node states. Finally, building upon this foundation, the reverse coupled simulated annealing algorithm is introduced to jointly optimize the Hello packet sending interval and fault detection time. Compared to the traditional AODV protocol, OSPF-ICSA reduces the average fault detection time by over 37.38%, improves the average fault detection accuracy by more than 3.1%, decreases the average routing overhead by over 20%, and increases the average packet delivery rate by over 5.1%. Full article
(This article belongs to the Special Issue Featured Advances in Real-Time Networks)
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14 pages, 1910 KiB  
Article
An Accurate Cooperative Localization Algorithm Based on RSS Model and Error Correction in Wireless Sensor Networks
by Bo Chang, Xinrong Zhang and Haiyi Bian
Electronics 2024, 13(11), 2131; https://doi.org/10.3390/electronics13112131 - 30 May 2024
Viewed by 721
Abstract
Aiming at the problem that there is a big contradiction between accuracy and calculation and cost based on the RSSI positioning algorithm, an accurate and effective cooperative positioning algorithm is proposed in combination with error correction and refinement measures in each stage of [...] Read more.
Aiming at the problem that there is a big contradiction between accuracy and calculation and cost based on the RSSI positioning algorithm, an accurate and effective cooperative positioning algorithm is proposed in combination with error correction and refinement measures in each stage of positioning. At the ranging stage, the RSSI measurement value is converted to distance by wireless channel modeling and the dynamic acquisition of the power attenuation factor. Then, the ranging correction is carried out by using the known anchor node ranging error information. The Taylor series expansion least-square iterative refinement algorithm is implemented in the position optimization stage, and satisfactory positioning accuracy is obtained. The idea of cooperative positioning is introduced to upgrade the nodes that meet the requirements and are upgraded to anchor nodes and participate in the positioning of other nodes to improve the positioning coverage and positioning accuracy. The experimental results show that the localization effect of this algorithm is close to that of the Taylor series expansion algorithm based on coordinates but far higher than that of the basic least-squares localization algorithm. The positioning accuracy can be improved rapidly with the decrease in the distance measurement error. Full article
(This article belongs to the Special Issue Featured Advances in Real-Time Networks)
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28 pages, 1456 KiB  
Article
Optimizing the Timeliness of Hybrid OFDMA-NOMA Sensor Networks with Stability Constraints
by Wei Wang, Yunquan Dong and Chengsheng Pan
Electronics 2024, 13(9), 1768; https://doi.org/10.3390/electronics13091768 - 3 May 2024
Viewed by 851
Abstract
In this paper, we analyze the timeliness of a multi-user system in terms of the age of information (AoI) and the corresponding stability region in which the packet rates of users lead to finite queue lengths. Specifically, we consider a hybrid OFDMA-NOMA system [...] Read more.
In this paper, we analyze the timeliness of a multi-user system in terms of the age of information (AoI) and the corresponding stability region in which the packet rates of users lead to finite queue lengths. Specifically, we consider a hybrid OFDMA-NOMA system where the users are partitioned into several groups. While users in each group share the same resource block using non-orthogonal multiple access (NOMA), different groups access the fading channel using orthogonal frequency division multiple access (OFDMA). For this system, we consider three decoding schemes at the service terminals: interfering decoding, which treats signals from other users as interference; serial interference cancellation, which removes signals from other users once they have been decoded; and the enhanced SIC strategy, where the receiver attempts to decode for another user if decoding for a previous user fails. We present the average AoI for each of the three decoding schemes in closed form. Under the constraint of the stable region, we find the minimum AoI of each decoding scheme efficiently. The numerical results show that by optionally choosing the decoding scheme and transmission rate, the hybrid OFDMA-NOMA outperforms conventional OFDMA in terms of both system timeliness and stability. Full article
(This article belongs to the Special Issue Featured Advances in Real-Time Networks)
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16 pages, 1502 KiB  
Article
Safe-Learning-Based Location-Privacy-Preserved Task Offloading in Mobile Edge Computing
by Minghui Min, Zeqian Liu, Jincheng Duan, Peng Zhang and Shiyin Li
Electronics 2024, 13(1), 89; https://doi.org/10.3390/electronics13010089 - 25 Dec 2023
Cited by 2 | Viewed by 1561
Abstract
Mobile edge computing (MEC) integration with 5G/6G technologies is an essential direction in mobile communications and computing. However, it is crucial to be aware of the potential privacy implications of task offloading in MEC scenarios, specifically the leakage of user location information. To [...] Read more.
Mobile edge computing (MEC) integration with 5G/6G technologies is an essential direction in mobile communications and computing. However, it is crucial to be aware of the potential privacy implications of task offloading in MEC scenarios, specifically the leakage of user location information. To address this issue, this paper proposes a location-privacy-preserved task offloading (LPTO) scheme based on safe reinforcement learning to balance computational cost and privacy protection. This scheme uses the differential privacy technique to perturb the user’s actual location to achieve location privacy protection. We model the privacy-preserving location perturbation problem as a Markov decision process (MDP), and we develop a safe deep Q-network (DQN)-based LPTO (SDLPTO) scheme to select the offloading policy and location perturbation policy dynamically. This approach effectively mitigates the selection of high-risk state–action pairs by conducting a risk assessment for each state–action pair. Simulation results show that the proposed SDLPTO scheme has a lower computational cost and location privacy leakage than the benchmarks. These results highlight the significance of our approach in protecting user location privacy while achieving improved performance in MEC environments. Full article
(This article belongs to the Special Issue Featured Advances in Real-Time Networks)
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