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Wireless Communication and Networking for loT
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Wireless Communication and Networking for loT

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: 30 January 2027 | Viewed by 1677

Special Issue Editors

Dr. Sofiane Hamrioui

E-Mail Website
Guest Editor
ESAIP Engineer School, Saint-Barthélemy d’Anjou, France
Interests: cloud computing; mobile computing; computer networks; wireless networks
Special Issues, Collections and Topics in MDPI journals
Dr. Rahim Kacimi

E-Mail Website
Guest Editor
IRIT, Université de Toulouse, CNRS, Toulouse INP, UT3, 31062 Toulouse, France
Interests: wireless networks; Internet of Things; UAV; V2X; 5G

Special Issue Information

Dear Colleagues,

The proliferation of the Internet of Things (IoT) is fundamentally transforming industries, smart cities, and daily life. This paradigm hinges on the ability of countless devices to communicate reliably and efficiently. However, the unique constraints of IoT deployments—including massive scalability, severe energy limitations, heterogeneous traffic patterns, and stringent security demands—continue to pose significant challenges for existing wireless communication and networking protocols. This Special Issue seeks to explore groundbreaking research and innovative solutions that address these challenges, pushing the boundaries of what is possible in IoT connectivity. We invite contributions on novel architectures, advanced protocols, and cutting-edge signal processing techniques designed to create more robust, efficient, and intelligent IoT ecosystems.

Dr. Sofiane Hamrioui
Dr. Rahim Kacimi
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 250 words) can be sent to the Editorial Office for assessment.

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. Sensors 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 2600 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

  • IoT networks
  • wireless sensor networks
  • LPWAN (Low-Power Wide-Area Network)
  • communication protocols (e.g., IEEE 802.15.4, LoRaWAN, NB-IoT)
  • resource allocation
  • energy efficiency
  • massive machine-type communication (mMTC)
  • network security and privacy
  • edge intelligence for IoT
  • 6G for IoT

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Published Papers (3 papers)

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Research

28 pages, 3381 KB  
Article
Design and Experimental Evaluation of a Hierarchical LoRaMESH-Based Sensor Network with Wi-Fi HaLow Backhaul for Smart Agriculture
by Cuong Chu Van, Anh Tran Tuan and Duan Luong Cong
Sensors 2026, 26(9), 2645; https://doi.org/10.3390/s26092645 - 24 Apr 2026
Viewed by 248
Abstract
Large-scale smart agriculture requires reliable and energy-efficient wireless connectivity to support distributed environmental sensing across wide rural areas. However, existing low-power wide-area network (LPWAN) technologies often face limitations in scalability, reliability, or infrastructure dependency when deployed in large agricultural fields. This study presents [...] Read more.
Large-scale smart agriculture requires reliable and energy-efficient wireless connectivity to support distributed environmental sensing across wide rural areas. However, existing low-power wide-area network (LPWAN) technologies often face limitations in scalability, reliability, or infrastructure dependency when deployed in large agricultural fields. This study presents the design and experimental evaluation of a hierarchical sensor network architecture that integrates LoRaMESH for multi-hop sensing communication and Wi-Fi HaLow as a sub-GHz backhaul for data aggregation and cloud connectivity. In the proposed system, LoRaMESH forms intra-cluster sensor networks using a lightweight controlled flooding protocol, while Wi-Fi HaLow provides long-range IP-based connectivity between cluster gateways and a central access point. A real-world deployment covering approximately 2.5km×1km of agricultural area was implemented to evaluate the performance of the proposed architecture. Experimental results show that the LoRaMESH network achieves packet delivery ratios above 90% across one to three hops, with average end-to-end delays between 10.6 s and 13.3 s. The Wi-Fi HaLow backhaul demonstrates high reliability within short to medium distances, reaching 99.5% packet delivery ratio at 50 m and 89.68% at 200 m. Energy measurements further indicate that the sensor nodes consume only 21.19μA in sleep mode, enabling long-term battery-powered operation suitable for agricultural monitoring applications. These results indicate that the proposed hierarchical architecture is a feasible connectivity option for the tested large-scale agricultural sensing scenario. Because no side-by-side LoRaWAN or NB-IoT benchmark was conducted on the same testbed, the results should be interpreted as a field validation of the proposed architecture rather than as a direct experimental demonstration of superiority over alternative LPWAN systems. Full article
(This article belongs to the Special Issue Wireless Communication and Networking for loT)
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22 pages, 1959 KB  
Article
Enhancing Spectral Efficiency of 6G Downlink Beamforming via Cooperative Multi-Agent Deep Reinforcement Learning
by Ali Al Janaby, Hussain Al-Rizzo and Yahya Qassim
Sensors 2026, 26(3), 950; https://doi.org/10.3390/s26030950 - 2 Feb 2026
Cited by 1 | Viewed by 545
Abstract
This paper presents a new beamforming algorithm for Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems using Multi-Agent Reinforcement Learning (MARL). The proposed approach is shown to significantly enhance the efficiency and performance of future wireless communication systems. The system comprises two base stations, each equipped [...] Read more.
This paper presents a new beamforming algorithm for Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems using Multi-Agent Reinforcement Learning (MARL). The proposed approach is shown to significantly enhance the efficiency and performance of future wireless communication systems. The system comprises two base stations, each equipped with a Uniform Rectangular Array (URA) of directional antennas. Each base station has RL algorithms that use beamforming to provide the optimal Signal-to-Interference-Plus-Noise Ratio (SINR) for each user. These algorithms also work with the other base stations to prevent user interference and ensure efficient resource use. Simulation results demonstrate that the potential of the proposed method has the potential for dynamically adapting beam patterns and maintaining high SINR across the network, resulting in more than a 2-fold improvement in throughput and a 5453% improvement in SINR. Full article
(This article belongs to the Special Issue Wireless Communication and Networking for loT)
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28 pages, 2487 KB  
Article
Optimal Resource Allocation via Unified Closed-Form Solutions for SWIPT Multi-Hop DF Relay Networks
by Yang Yu, Xiaoqing Tang and Guihui Xie
Sensors 2026, 26(2), 512; https://doi.org/10.3390/s26020512 - 12 Jan 2026
Viewed by 493
Abstract
Multi-hop relaying can solve the problems of limited single-hop wireless communication distance, poor signal quality, or the inability to communicate directly by “relaying” data transmission through multiple intermediate nodes. It serves as the cornerstone for building large-scale, highly reliable, and self-adapting wireless networks, [...] Read more.
Multi-hop relaying can solve the problems of limited single-hop wireless communication distance, poor signal quality, or the inability to communicate directly by “relaying” data transmission through multiple intermediate nodes. It serves as the cornerstone for building large-scale, highly reliable, and self-adapting wireless networks, especially for the Internet of Things (IoT) and future 6G. This paper focuses on a decode-and-forward (DF) multi-hop relay network that employs simultaneous wireless information and power transfer (SWIPT) technology, with relays operating in a passive state. We first investigate the optimization of the power splitting (PS) ratio at each relay, given the source node transmit power, to maximize end-to-end network throughput. Subsequently, we jointly optimized the PS ratios and the source transmit power to minimize the source transmit power while satisfying the system’s minimum quality of service (QoS) requirement. Although both problems are non-convex, they can be reformulated as convex optimization problems. Closed-form optimal solutions are then derived based on the Karush–Kuhn–Tucker (KKT) conditions and a recursive method, respectively. Moreover, we find that the closed-form optimal solutions for the PS ratios corresponding to the two problems are identical. Through simulations, we validate that the performance of the two proposed schemes based on the closed-form solutions is optimal, while also demonstrating their extremely fast algorithm execution speeds, thereby proving the deployment value of the two proposed schemes in practical communication scenarios. Full article
(This article belongs to the Special Issue Wireless Communication and Networking for loT)
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