Advances in Wireless and Mobile Networking—2nd Edition

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 25 February 2027 | Viewed by 3636

Special Issue Editors


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Guest Editor

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Guest Editor
Department of Software Engineering and Information Technology, École de Technologie Supérieure, Montreal, QC H3C 1K3, Canada
Interests: mobile networks; network virtualization; wireless networks; edge computing; network management; resource allocation; traffic analysis; mobility management; reinforcement learning; optimization

Special Issue Information

Dear Colleagues,

This Special Issue represents a discussion forum for researchers, professionals, and students interested in novel developments in mobile and wireless networks, services, and applications and mobile computing. The main topics of interest include (but are not limited to) the following:

  • Wireless and mobile communications and networks;
  • Wireless technologies design and evaluation;
  • Handoff, location, and resource management;
  • Network and service management and control;
  • Cognitive radio and Massive MIMO networking;
  • Network security solutions and protocols;
  • Traffic and network modeling;
  • Software-defined wireless networking;
  • Wireless Sensor and Actuator Networks;
  • Low-power wide area networks;
  • Vehicular cyber–physical networks ;
  • Communication technologies for the IoT;
  • Ad hoc networking, positioning localization and tracking;
  • Mobile cloud computing and applications;
  • Multi-access edge computing;
  • Multicasting and broadcasting issues;
  • Intelligent transportation systems;
  • Content management and distribution;
  • ML/AI for network management;
  • Knowledge, information, sensor, and data fusion: applications, approaches and algorithms;
  • Unmanned Aircraft Systems/Unmanned Aerial Vehicles/Drones/Remotely Piloted Aircraft Systems (UAS/UAV/RPAS) wireless and mobile networks communications and applications;
  • Wireless Networks for Energy and Power Systems.

Dr. Eirini Eleni Tsiropoulou
Prof. Diala Naboulsi
Guest Editors

Manuscript Submission Information

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Keywords

  • wireless networks
  • edge computing
  • ad hoc networks
  • vehicular networks
  • wireless sensor networks
  • Internet of Things
  • security and privacy
  • network and service management
  • cognitive radio networking
  • massive MIMO communications

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Published Papers (2 papers)

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Research

42 pages, 3449 KB  
Article
Blockchain–AI–Geolocation Integrated Architecture for Mobile Identity and OTP Verification
by Gajasin Gamage Damith Sulochana and Dilshan Indraraj De Silva
Future Internet 2025, 17(12), 534; https://doi.org/10.3390/fi17120534 - 23 Nov 2025
Viewed by 1791
Abstract
One-Time Passwords (OTPs) are a core component of multi-factor authentication in banking, e-commerce, and digital platforms. However, conventional delivery channels such as SMS and email are increasingly vulnerable to SIM-swap fraud, phishing, spoofing, and session hijacking. This study proposes an end-to-end mobile authentication [...] Read more.
One-Time Passwords (OTPs) are a core component of multi-factor authentication in banking, e-commerce, and digital platforms. However, conventional delivery channels such as SMS and email are increasingly vulnerable to SIM-swap fraud, phishing, spoofing, and session hijacking. This study proposes an end-to-end mobile authentication architecture that integrates a permissioned Hyperledger Fabric blockchain for tamper-evident identity management, an AI-driven risk engine for behavioral and SIM-swap anomaly detection, Zero-Knowledge Proofs (ZKPs) for privacy-preserving verification, and geolocation-bound OTP validation for contextual assurance. Hyperledger Fabric is selected for its permissioned governance, configurable endorsement policies, and deterministic chaincode execution, which together support regulatory compliance and high throughput without the overhead of cryptocurrency. The system is implemented as a set of modular microservices that combine encrypted off-chain storage with on-chain hash references and smart-contract–enforced policies for geofencing and privacy protection. Experimental results show sub-0.5 s total verification latency (including ZKP overhead), approximately 850 transactions per second throughput under an OR-endorsement policy, and an F1-score of 0.88 for SIM-swap detection. Collectively, these findings demonstrate a scalable, privacy-centric, and interoperable solution that strengthens OTP-based authentication while preserving user confidentiality, operational transparency, and regulatory compliance across mobile network operators. Full article
(This article belongs to the Special Issue Advances in Wireless and Mobile Networking—2nd Edition)
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35 pages, 2010 KB  
Article
Intelligent Transmission Control Scheme for 5G mmWave Networks Employing Hybrid Beamforming
by Hazem (Moh’d Said) Hatamleh, As’ad Mahmoud As’ad Alnaser, Roba Mahmoud Ali Aloglah, Tomader Jamil Bani Ata, Awad Mohamed Ramadan and Omar Radhi Aqeel Alzoubi
Future Internet 2025, 17(7), 277; https://doi.org/10.3390/fi17070277 - 24 Jun 2025
Viewed by 1384
Abstract
Hybrid beamforming plays a critical role in evaluating wireless communication technology, particularly for millimeter-wave (mmWave) multiple-input multiple-out (MIMO) communication. Several hybrid beamforming systems are investigated for millimeter-wave multiple-input multiple-output (MIMO) communication. The deployment of huge grant-free transmission in the millimeter-wave (mmWave) band is [...] Read more.
Hybrid beamforming plays a critical role in evaluating wireless communication technology, particularly for millimeter-wave (mmWave) multiple-input multiple-out (MIMO) communication. Several hybrid beamforming systems are investigated for millimeter-wave multiple-input multiple-output (MIMO) communication. The deployment of huge grant-free transmission in the millimeter-wave (mmWave) band is required due to the growing demands for spectrum resources in upcoming enormous machine-type communication applications. Ultra-high data speed, reduced latency, and improved connection are all promised by the development of 5G mmWave networks. Yet, due to severe route loss and directional communication requirements, there are substantial obstacles to transmission reliability and energy efficiency. To address this limitation in this research we present an intelligent transmission control scheme tailored to 5G mmWave networks. Transport control protocol (TCP) performance over mmWave links can be enhanced for network protocols by utilizing the mmWave scalable (mmS)-TCP. To ensure that users have the stronger average power, we suggest a novel method called row compression two-stage learning-based accurate multi-path processing network with received signal strength indicator-based association strategy (RCTS-AMP-RSSI-AS) for an estimate of both the direct and indirect channels. To change user scenarios and maintain effective communication constantly, we utilize the innovative method known as multi-user scenario-based MATD3 (Mu-MATD3). To improve performance, we introduce the novel method of “digital and analog beam training with long-short term memory (DAH-BT-LSTM)”. Finally, as optimizing network performance requires bottleneck-aware congestion reduction, the low-latency congestion control schemes (LLCCS) are proposed. The overall proposed method improves the performance of 5G mmWave networks. Full article
(This article belongs to the Special Issue Advances in Wireless and Mobile Networking—2nd Edition)
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