Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments

Sustainability, Год журнала: 2023, Номер 15(18), С. 13464 - 13464

Опубликована: Сен. 8, 2023

This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0 into design and construction intelligent, environmentally friendly, long-lasting structures. statement highlights need to shift away current methods seen in 5.0 effectively respond increasing requirement for creative sustainable infrastructures. Modern building techniques have been made more efficient because 6.0’s cutting-edge equipment, digitalization, ecologically concerned methods. The academic community has thoroughly dissected many benefits 5.0. Examples are increased stakeholder involvement, automation, robotics optimization, decision structures based on data, careful resource management. However, difficulties implementing principles laid bare this research. It calls skilled experts who latest technologies, coordinate technical expertise stakeholders, orchestrate interoperable standards, strengthen cybersecurity procedures. study evaluates how well can create smart, long-lasting, sound goal is specify these may revolutionize industry. In addition, research provides an in-depth analysis industry might best adopt 6.0, underscoring sector-wide significance paradigm change. analyzes about big data analytics, IoT, collaborative robotics. To better understand potential pitfalls buildings, examines interaction between organizational dynamics, human actors, robotic systems.

Язык: Английский

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A hybrid meta-heuristic algorithm for multi-objective IoT service placement in fog computing environments

Decision Analytics Journal, Год журнала: 2023, Номер 10, С. 100379 - 100379

Опубликована: Дек. 12, 2023

The fog computing paradigm is promising for deploying various delay-sensitive Internet of Things (IoT) applications. resource-constrained devices restrict the number application deployments due to a lack efficient resource estimation and discovery mechanisms emergent heterogeneous IoT An allocation strategy one best choices meet these application's Quality Service (QoS) requirements improve system performance. However, finding applications with more than QoS parameter challenge, it has been proved as non-deterministic polynomial time (NP)-complete problem. This article formulates classical weighted multi-objective service placement optimize three parameters, i.e., makespan, cost, energy. non-convexity nature solution space motivates us focus on population-based meta-heuristic algorithm, i.e. Genetic Algorithm (GA), Simulated Annealing (SA) Particle Swarm Optimization (PSO), along their combination GA-SA, GA-PSO. It implements algorithm compares greedy-based random approach, varying different parameters. final results reveal that hybrid method GA-SA outperforms other state-of-the-art algorithms.

Язык: Английский

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IoT in energy: a comprehensive review of technologies, applications, and future directions

Peer-to-Peer Networking and Applications, Год журнала: 2024, Номер unknown

Опубликована: Июнь 4, 2024

Язык: Английский

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A novel offloading strategy for multi-user optimization in blockchain-enabled Mobile Edge Computing networks for improved Internet of Things performance

Computers & Electrical Engineering, Год журнала: 2024, Номер 119, С. 109514 - 109514

Опубликована: Авг. 8, 2024

Язык: Английский

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A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges, and Future Directions

IEEE Access, Год журнала: 2024, Номер 12, С. 118007 - 118059

Опубликована: Янв. 1, 2024

Язык: Английский

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Resource allocation in Fog–Cloud Environments: State of the art

Journal of Network and Computer Applications, Год журнала: 2024, Номер 227, С. 103891 - 103891

Опубликована: Апрель 28, 2024

Язык: Английский

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Reinforcement learning-based solution for resource management in fog computing: A comprehensive survey

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127214 - 127214

Опубликована: Март 1, 2025

Язык: Английский

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Edge Computing and Cloud Computing for Internet of Things: A Review

Informatics, Год журнала: 2024, Номер 11(4), С. 71 - 71

Опубликована: Сен. 30, 2024

The rapid expansion of the Internet Things ecosystem has created an urgent need for efficient data processing and analysis technologies. This review aims to systematically examine compare edge computing, cloud hybrid architectures, focusing on their applications within IoT environments. methodology involved a comprehensive search peer-reviewed journals, conference proceedings, industry reports, highlighting recent advancements in computing technologies IoT. Key findings reveal that excels reducing latency enhancing privacy through localized processing, while offers superior scalability flexibility. Hybrid approaches, such as fog mist present promising solution by combining strengths both systems. These models optimize bandwidth use support low-latency, privacy-sensitive ecosystems. architectures are identified particularly effective scenarios requiring management low-latency processing. represent significant step forward addressing limitations IoT, offering balanced approach resource management.

Язык: Английский

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Enhancing modular application placement in a hierarchical fog computing: A latency and communication cost-sensitive approach

Computer Communications, Год журнала: 2024, Номер 216, С. 95 - 111

Опубликована: Янв. 9, 2024

Язык: Английский

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UAVEC-FLchain: Distributed multi-regional jujube orchard joint yield estimation for secure agricultural-IoT applications

Internet of Things, Год журнала: 2024, Номер 25, С. 101143 - 101143

Опубликована: Фев. 28, 2024

Язык: Английский

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