The role of energy management technologies for cyber resilient smart homes in sustainable urban development DOI Creative Commons

Um-e-Habiba,

Ijaz Ahmed, Mohammed Alqahtani

и другие.

Energy Strategy Reviews, Год журнала: 2024, Номер 56, С. 101602 - 101602

Опубликована: Ноя. 1, 2024

Язык: Английский

Energy Efficiency in Agriculture through Tokenization of 5G and Edge Applications DOI Creative Commons
Michail‐Alexandros Kourtis, Michael C. Batistatos,

Georgios Xylouris

и другие.

Energies, Год журнала: 2023, Номер 16(13), С. 5182 - 5182

Опубликована: Июль 5, 2023

This study delves into the potential of 5G and blockchain technologies in smart agriculture, specifically targeting remote farming sectors. A conceptual architecture is proposed, aiming to leverage these cutting-edge while ensuring energy efficiency sustainable development within agriculture industry. We provide an in-depth analysis applications explore alternative communication channels that could empower communities, introducing them state-of-the-art technological solutions. unique aspect our research detailed presentation a parametric insurance business case, designed align with proposed architecture, thereby illustrating practicality approach. Moreover, we propose innovative solution challenge providing internet connectivity rural areas using Unmanned Aerial Vehicles (UAVs). Current limitations due weight onboard equipment, which includes access network backhaul link for provision, are addressed by lightweight system UAV. serves multiple user equipment on ground, one acting as connection gateway internet. approach not only streamlines process but also opens up new markets service providers businesses related systems UAV technology. Our work presents avant-garde technical challenges offers significant opportunities rapidly evolving telecommunications sector beyond.

Язык: Английский

Процитировано

7

A comprehensive review of recent approaches and Hardware-Software technologies for digitalisation and intellectualisation of Open-Field crop Production: Ukrainian case study in the global context DOI
Іvan Laktionov, Grygorii Diachenko, Vita Kashtan

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 225, С. 109326 - 109326

Опубликована: Авг. 16, 2024

Язык: Английский

Процитировано

2

Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey DOI
Álvaro Sobrinho, Matheus Vilarim,

Amanda Barbosa

и другие.

ACM Computing Surveys, Год журнала: 2024, Номер unknown

Опубликована: Сен. 21, 2024

Ensuring the security of vertical applications in fifth-generation (5G) mobile communication systems and previous generations is crucial. These must prioritize maintaining confidentiality, integrity, availability services data. Examples include smart cities, transportation, public services, Industry 4.0, grids, health, agriculture. Each application has specific requirements faces unique threats within network environment. Thus, it essential to implement comprehensive robust measures. This approach helps minimize attack surface effectively manage risks. survey thoroughly examines networks their challenges applications, shedding light on associated potential solutions. Our study considers interplay between considerations 5G, legacy networks, applications. We emphasize challenges, opportunities, promising directions for future research this field importance securing evolving landscape technology.

Язык: Английский

Процитировано

2

BCRS-DS: A Privacy-protected data sharing scheme for IoT based on blockchain and certificateless ring signature DOI
Qi Liu, Guijuan Wang, Biwei Yan

и другие.

Journal of Information Security and Applications, Год журнала: 2024, Номер 87, С. 103914 - 103914

Опубликована: Ноя. 15, 2024

Язык: Английский

Процитировано

2

A comprehensive review on current issues and advancements of Internet of Things in precision agriculture DOI
Dhanasekar Subramaniyam

Computer Science Review, Год журнала: 2024, Номер 55, С. 100694 - 100694

Опубликована: Ноя. 28, 2024

Язык: Английский

Процитировано

2

Spectral and Energy Efficiency Trade-Off in UAV-Based Olive Irrigation Systems DOI Creative Commons
Ayman Massaoudi, Abdelwahed Berguiga, Ahlem Harchay

и другие.

Applied Sciences, Год журнала: 2023, Номер 13(19), С. 10739 - 10739

Опубликована: Сен. 27, 2023

Precision agriculture, also referred to as smart farming, is one of the main pillars modern society achieve Sustainable Development Goals (SDGs). agriculture aims improve quality and quantity production while conserving scarce natural resources. Smart farming has grown in recent years thanks adoption technologies, including artificial intelligence (AI) Internet Things (IoT). In this work, we consider an irrigation system for olive orchards based on unmanned aerial vehicles (UAVs). Specifically, UAVs ensure remote sensing (RS), which offers advantage collecting vital information a large temporal spatial scale (which cannot be achieved with traditional technologies). However, UAV-based systems face tremendous challenges due various requirements powerful computing ability, battery capacity, energy efficiency, spectral efficiency different connected devices. This paper addresses trade-off problem systems. We propose adopt massive multiple input, output (M-MIMO) technology wireless communication. fact, plays significant role future sixth-generation (6G) mobile networks potential enhance well efficiency. design network model three-layered architecture analytically compute achievable studied system. Then, numerically determine optimal number ground base station antennas IoT devices that should used maximum guaranteeing high The numerical results prove proposed outperforms conventional demonstrate best obtained by using M-MMSE combiner.

Язык: Английский

Процитировано

5

Ray Tracing Tools Assessment for the Evaluation of EMF Levels Generated by 5G NR Systems: An Overview DOI
Francesca Lodato,

Andrea Garzia,

Simona Valbonesi

и другие.

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

1

Integrating 5G and machine learning technologies for advanced PDM in smart farming DOI

Weidong Zhang,

Huadi Tan

Journal of Intelligent & Fuzzy Systems, Год журнала: 2024, Номер 46(4), С. 9709 - 9726

Опубликована: Март 1, 2024

Smart farming is revolutionizing agriculture by integrating advanced technologies to enhance productivity, efficiency, and sustainability. This paper proposes a novel, 5G-enabled Pest Disease Detection Response System (PDDRS) that synergizes environmental sensor data with image analytics for comprehensive Plant (PDD). By leveraging the high bandwidth ultra-low latency capabilities of 5G, our integrated system surpasses traditional communication technologies, facilitating real-time immediate intervention strategies. We introduce two Machine Learning (ML) models: an image-based Mask R-CNN FPN, which achieves precision 91.1% accuracy 95.1%, environmental-based FFNN + LSTM model, evaluated ACC, AUC, F1-Score, showing promising results in disease forecasting. Our experiments demonstrate PDDRS significantly enhances throughput performance under various connected devices, showcasing scalable, cost-effective solution suitable next-generation smart farming. These advancements collectively empower deliver actionable insights, enabling targeted applications such as precise pesticide deployment, stand testament potential 5G agricultural innovation.

Язык: Английский

Процитировано

0

INSIGHTS DE UM ESTUDO DE MAPEAMENTO SISTEMÁTICO DA TECNOLOGIA 5G NO CONTEXTO DA AGRICULTURA SUSTENTÁVEL DOI Creative Commons
Sidney Cassemiro do Nascimento, Francisco Sandro Rodrigues Holanda

P2P E INOVAÇÃO, Год журнала: 2024, Номер 11(1)

Опубликована: Июль 23, 2024

A tecnologia 5G está se tornando essencial para impulsionar a agricultura sustentável nas próximas décadas. O objetivo deste trabalho foi caracterizar as pesquisas relacionadas à no contexto da sustentável, contribuindo assim o avanço do conhecimento científico e estímulo de debates sobre mudanças tecnológicas na com apoio 5G. Realizou-se um mapeamento sistemático das publicações científicas uso abrangendo discussões desde início temática até presente momento. Os resultados revelaram que os termos mais frequentes pesquisa indicam foco em tecnologias inteligentes precisas agricultura. Foi identificada também uma abordagem interdisciplinar aplicação interconexões entre diferentes campos conhecimento. destacam crescente interesse relevância oferecendo insights futuras investigações desenvolvimentos tecnológicos.

Процитировано

0

Visualization and Analysis of Knowledge Structure of Smart Agriculture in the Context of Big Data DOI
Jun Sun, Meng Yang

2022 7th International Conference on Computer and Communication Systems (ICCCS), Год журнала: 2024, Номер unknown, С. 1178 - 1183

Опубликована: Апрель 19, 2024

Язык: Английский

Процитировано

0