Secure, Robust, and Energy-Efficient Authenticated Data Sharing in Drone to Vehicles Communications DOI
Atefeh Mohseni-Ejiyeh

Published: July 8, 2024

Language: Английский

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey DOI Creative Commons
Md. Najmul Mowla, Neazmul Mowla, A. F. M. Shahen Shah

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 145813 - 145852

Published: Jan. 1, 2023

The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.

Language: Английский

Citations

67

The Role of 6G Technologies in Advancing Smart City Applications: Opportunities and Challenges DOI Open Access
Sanjeev Kumar Sharma,

Renu Popli,

Sajjan Singh

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 7039 - 7039

Published: Aug. 16, 2024

The deployment of fifth-generation (5G) wireless networks has already laid the ground-work for futuristic smart cities but along with this, it also triggered rapid growth a wide range applications, example, Internet Everything (IoE), online gaming, extended/virtual reality (XR/VR), telemedicine, cloud computing, and others, which require ultra-low latency, ubiquitous coverage, higher data rates, extreme device density, ultra-high capacity, energy efficiency, better reliability. Moreover, predicted explosive surge in mobile traffic until 2030 envisioned potential use-cases/scenarios city context will far exceed capabilities 5G was designed. Therefore, there is need to harness 6th Generation (6G) capabilities, not only meet stringent requirements megacities can open up new applications. Other crucial concerns that be addressed are related network security, privacy, interoperability, digital divide, other integration issues. In this article, we examine current emerging trends implementation 6G arena. Firstly, give an inclusive comprehensive review communication technologies find use cities. discussion each technology covers its benefits, challenges future research direction. Secondly, explore promising applications these technologies, such as, grids, healthcare, waste management, etc. conclusion part, have highlighted suggestions possible directions. So, single paper, attempted provide wider perspective on 6G-enabled by including both their This paper help readers gain holistic view ascertain opportunities bring diverse, massive

Language: Английский

Citations

15

Federated learning enables 6 G communication technology: Requirements, applications, and integrated with intelligence framework DOI Creative Commons
Mohammad Kamrul Hasan, A.K.M. Ahasan Habib, Shayla Islam

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 91, P. 658 - 668

Published: March 1, 2024

The 5 G networks are effectively deployed worldwide, and academia industries have begun looking at 6 network communication technology for consumer electronics applications. will be built on pervasive artificial intelligence (AI) to enable data-driven Machine Learning (ML) applications in massively scalable heterogeneous networks. Conventional ML technique involves centralizing train data centers where centralized algorithms can employed inference analysis. analysis frequently inconvenient or impracticable the devices submit information preset sever because of privacy concerns inadequate capabilities wireless However, limitations restrictions capacity impractical undesirable acquiesce parameter server. Federated learning (FL) enables a practical standard model while needing exchange transfer, which might solve these issues. This paper presents an overview FL, G, FL technology. In particular, requirements applications, proposed framework algorithm with evaluation described. Finally, FL-enabling technologies open challenges, research directions discussed help future researchers improve FL-enabled network.

Language: Английский

Citations

12

Key Enabling Technologies for 6G: The Role of UAVs, Terahertz Communication, and Intelligent Reconfigurable Surfaces in Shaping the Future of Wireless Networks DOI Creative Commons

Wagdy M. Othman,

Abdelhamied A. Ateya, Mohamed E. Nasr

et al.

Journal of Sensor and Actuator Networks, Journal Year: 2025, Volume and Issue: 14(2), P. 30 - 30

Published: March 17, 2025

Sixth-generation (6G) wireless networks have the potential to transform global connectivity by supporting ultra-high data rates, ultra-reliable low latency communication (uRLLC), and intelligent, adaptive networking. To realize this vision, 6G must incorporate groundbreaking technologies that enhance network efficiency, spectral utilization, dynamic adaptability. Among them, unmanned aerial vehicles (UAVs), terahertz (THz) communication, intelligent reconfigurable surfaces (IRSs) are three major enablers in redefining architecture performance of next-generation systems. This survey provides a comprehensive review these transformative technologies, exploring their potential, design challenges, integration into future ecosystems. UAV-based flexible, on-demand remote, harsh areas is vital solution for disasters, self-driving, industrial automation. THz taking place 0.1–10 band reveals bandwidth capable rate multi-gigabits per second can avoid spectrum bottlenecks conventional bands. IRS technology based on programmable metasurface allows real-time wavefront control, maximizing signal propagation spectral/energy efficiency complex settings. The work architectural evolution, active current research trends, practical issues applying including contribution creation ultra-connected networks. In addition, it presents open questions, possible answers, directions information academia, industry, policymakers.

Language: Английский

Citations

1

Increasing the attractiveness of electric vehicles for consumers in cold climates DOI Creative Commons
Alexey V. Shvetsov

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 471, P. 06014 - 06014

Published: Jan. 1, 2024

This article examines the factors that constrain spread of electric vehicles in cold regions. An analysis main reasons restraining regions is carried out, including limited battery life, risks breakdown temperatures, and underdeveloped infrastructure. Promising research paths aimed at increasing attractiveness for users living have been identified. Results Factor Study Those restrain can be used to develop environmental programs residents regions, as well conduct adapting operation

Language: Английский

Citations

7

Development of service infrastructure for private motor boats in the northern regions DOI Creative Commons
Alexey V. Shvetsov

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 471, P. 01001 - 01001

Published: Jan. 1, 2024

This article examines the current trends in development of infrastructure for maintenance and repair private motor boats northern regions (on example Republic Sakha (Yakutia)). A survey boat owners three different groups was conducted. The data provide on most relevant areas region. Results study Repair can be used programs water transport infrastructure, by manufacturers boats, as well conducting new research this area.

Language: Английский

Citations

7

Towards sustainable industry 4.0: A survey on greening IoE in 6G networks DOI Creative Commons
Saeed Hamood Alsamhi, Ammar Hawbani, Radhya Sahal

et al.

Ad Hoc Networks, Journal Year: 2024, Volume and Issue: 165, P. 103610 - 103610

Published: Aug. 30, 2024

Language: Английский

Citations

7

A Fairness-Enhanced Federated Learning Scheduling Mechanism for UAV-Assisted Emergency Communication DOI Creative Commons

Chun Zhu,

Ying Shi,

Haitao Zhao

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(5), P. 1599 - 1599

Published: Feb. 29, 2024

As the frequency of natural disasters increases, study emergency communication becomes increasingly important. The use federated learning (FL) in this scenario can facilitate collaboration between devices while protecting privacy, greatly improving system performance. Considering complex geographic environment, flexible mobility and large radius unmanned aerial vehicles (UAVs) make them ideal auxiliary for wireless communication. Using UAV as a mobile base station better provide stable signals. However, number ground-based IoT terminals is closely distributed, so if all transmit data to UAV, will not be able take on computation tasks because its limited energy. In addition, there competition spectrum resources among many terrestrial devices, transmitting bring about an extreme shortage resources, which lead degradation model This indelible damage rescue disaster area threaten life safety vulnerable injured. Therefore, we user scheduling select some participate FL process. order avoid resource waste generated by device prediction, multi-armed bandit (MAB) algorithm equipment evaluation. fairness issue selection, try replace single criterion with multiple criteria, using freshness energy consumption weighting reward functions. state art our approach demonstrated simulations datasets.

Language: Английский

Citations

5

Empowering Dataspace 4.0: Unveiling Promise of Decentralized Data-Sharing DOI Creative Commons
Saeed Hamood Alsamhi, Ammar Hawbani, Santosh Kumar

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 112637 - 112658

Published: Jan. 1, 2024

Language: Английский

Citations

4

Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications DOI Creative Commons
Saeed Hamood Alsamhi, Ammar Hawbani,

Alexey V. Shvetsov

et al.

Advances in Human-Computer Interaction, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 19

Published: Oct. 25, 2023

The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative shift towards more resilient future, particularly concerning pandemic preparedness. Within this context, signifies holistic approach to healthcare delivery, where interconnected technologies enable data-driven decision-making, patient-centric care, enhanced efficiency. This paper provides an in-depth exploration FL’s role within the framework its implications for response. Specifically, FL offers potential revolutionize preparedness in several vital ways: it enables collaborative learning from distributed data sources without compromising individual privacy, facilitates decentralized decision-making by empowering local institutions contribute collective knowledge pool, enhances real-time surveillance, enabling early detection outbreaks informed responses. We start laying out concepts 5.0, followed analysis current response mechanisms. delve into applications case studies healthcare, highlighting benefits, including privacy protection, implementation challenges. By articulating how fits we envisage future technologically integrated health system. examining highlight protection effective decision support systems. Our findings demonstrate that can significantly improve times accuracy. Moreover, speculate on scenarios could enhance make resilient. Finally, recommend policymakers, technologists, educators address challenges maximize benefits 5.0. aims discourse next-generation technologies, emphasizing shape future.

Language: Английский

Citations

10