Trust-Based Fog-Blockchain Model for Scalable Authentication in Smart Cities DOI
Osama A. Khashan

Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111278 - 111278

Published: March 1, 2025

Language: Английский

Greening smart cities: An investigation of the integration of urban natural resources and smart city technologies for promoting environmental sustainability DOI Open Access

Chu Xiao Hui,

Ge Dan,

Sagr Alamri

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104985 - 104985

Published: Oct. 5, 2023

Language: Английский

Citations

112

Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review DOI Creative Commons
Radosław Wolniak, Kinga Stecuła

Smart Cities, Journal Year: 2024, Volume and Issue: 7(3), P. 1346 - 1389

Published: June 10, 2024

As urbanization continues to pose new challenges for cities around the world, concept of smart is a promising solution, with artificial intelligence (AI) playing central role in this transformation. This paper presents literature review AI solutions applied cities, focusing on its six main areas: mobility, environment, governance, living, economy, and people. The analysis covers publications from 2021 2024 available Scopus. examines application each area identifies barriers, advances, future directions. authors set following goals analysis: (1) identify applications using cities; (2) barriers implementation (3) explore directions usage cities.

Language: Английский

Citations

42

Multi-Objective Secure Task Offloading Strategy for Blockchain-Enabled IoV-MEC Systems: A Double Deep Q-Network Approach DOI Creative Commons
Komeil Moghaddasi, Shakiba Rajabi, Farhad Soleimanian Gharehchopogh

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 3437 - 3463

Published: Jan. 1, 2024

The Internet of Vehicles (IoV) represents a paradigm shift in vehicular communication, aiming to enhance traffic efficiency, safety, and the driving experience by leveraging interconnected vehicles. Despite its promise, IoV faces challenges such as efficient task offloading, energy management, data security. Mobile Edge Computing (MEC) emerges solution some these bringing computational resources closer network's edge, yet it raises critical concerns regarding resource service continuity, scalability dynamic environments. Addressing both MEC necessitates robust optimization mechanisms. In response challenges, our study introduces multi-objective approach using Double Deep Q-Networks (DDQN), cutting-edge application Reinforcement Learning (DRL). This algorithm combines strengths Neural Networks (DNNs) (DL) techniques, enabling decision-making that can adapt changing conditions. By considering multiple objectives, DDQN allows for sophisticated trade-off analysis, efficiently balancing between different objectives optimize overall system performance. Through use Blockchain technology, known secure, decentralized structure, model enhances integrity data, providing reliable IoV-MEC systems. We conducted comparative analysis against standard Q-Network (DQN) Deterministic Policy Gradient (DDPG) algorithms, which are prevalent this field. Our demonstrated significant improvements over traditional methods: consumption was reduced 26.4%, latency decreased 6.87%, cost minimized 7.41%.

Language: Английский

Citations

28

Sustainable tourism development using leading-edge Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR) and Virtual Reality (VR) technologies DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper delves into the potential for transformation by incorporating cutting-edge technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR), and Virtual (VR) to foster sustainable development tourism. The contemporary tourism industry confronts unprecedented challenges, including environmental degradation, cultural disruption, socio-economic imbalances. investigation explores innovative application advanced a comprehensive solution tackle these challenges propel sector toward more future. emerges pivotal facilitator in enhancing operations decision-making processes. Leveraging predictive analytics, machine learning, natural language processing, AI contributes optimized resource allocation, personalized visitor experiences, formulation data-driven sustainability strategies. Blockchain technology, recognized its decentralized transparent nature, is utilized establish secure traceable supply chains, ensuring equitable economic distribution minimizing impact travel. (IoT) assumes central role creating intelligent interconnected ecosystems. IoT devices enable real-time monitoring conditions, empowering destination management organizations implement adaptive measures conservation. Furthermore, enhance safety satisfaction through context-aware services. (AR) offer immersive experiences that redefine how tourists interact with destinations. AR enriches historical context attractions, fostering deeper understanding appreciation local heritage. Meanwhile, VR enables virtual reducing need physical travel consequently mitigating carbon footprints. findings underscore technology-driven approach practices, long-term environmental, social, sustainability.

Language: Английский

Citations

31

Artificial intelligence and the local government: A five-decade scientometric analysis on the evolution, state-of-the-art, and emerging trends DOI Creative Commons
Tan Yiğitcanlar,

Sajani Senadheera,

Raveena Marasinghe

et al.

Cities, Journal Year: 2024, Volume and Issue: 152, P. 105151 - 105151

Published: June 8, 2024

Language: Английский

Citations

14

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

14

Reviewing the Roles of AI-Integrated Technologies in Sustainable Supply Chain Management: Research Propositions and a Framework for Future Directions DOI Open Access
Chen Qu, Eunyoung Kim

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6186 - 6186

Published: July 19, 2024

In the post-pandemic era, uncertain global market and rising social-environmental issues drive organizations to adapt their supply chain strategies more dynamic, flexible models, leveraging advanced technologies like AI, big data analytics, decision support systems. This review paper aims examine current research on AI-integrated in sustainable management (SSCM) inform future directions. We adopted bibliometric text analysis, targeting 170 articles published between 2004 2023 from Scopus database following PRISMA (Preferred Reporting Items for Systematic Reviews Meta-Analyses) protocol. confirm that have demonstrated capability enable SSCM across various sectors. generated ten topics using Latent Dirichlet Allocation (LDA) method proposed 20 propositions. The results show processes primarily address sustainability, focusing environmental economic issues. However, there is still a technological gap tackling social working conditions fair dealing. Thus, we dynamic framework of AI help researchers practitioners synthesize optimize models

Language: Английский

Citations

11

Industry 5.0 and sustainability: An overview of emerging trends and challenges for a green future DOI
Rame Rame, Purwanto Purwanto,

Sudarno Sudarno

et al.

Innovation and Green Development, Journal Year: 2024, Volume and Issue: 3(4), P. 100173 - 100173

Published: Aug. 19, 2024

Language: Английский

Citations

11

Benefit and limitation of using blockchain in smart cities to improve citizen services DOI

Davoud Bahrepour,

Raheleh Maleki

GeoJournal, Journal Year: 2024, Volume and Issue: 89(2)

Published: Feb. 26, 2024

Language: Английский

Citations

10

A Survey of Consortium Blockchain and Its Applications DOI Creative Commons
Xiaotong Chen, Songlin He, Linfu Sun

et al.

Cryptography, Journal Year: 2024, Volume and Issue: 8(2), P. 12 - 12

Published: March 22, 2024

Blockchain is a revolutionary technology that has reshaped the trust model among mutually distrustful peers in distributed network. While blockchain well-known for its initial usage public manner, such as cryptocurrency of Bitcoin, consortium blockchain, which requires authentication all involved participants, also been widely adopted various domains. Nevertheless, there lack comprehensive study terms architecture design, consensus mechanisms, comparative performance, etc. In this study, we aim to fill gap by surveying most popular platforms and assessing their core designs layered fashion. Particularly, Byzantine fault tolerant (BFT) state machine replication (SMR) introduced act basic computational blockchain. Then split into hardware layer, layer-0 (network layer), layer-I (data layer contract layer-II protocols, application layer. Each presented with closely related discussion analysis. Furthermore, extraction functionalities, i.e., robust storage guaranteed execution, can provide, several typical blockchain-empowered decentralized scenarios are introduced. With these thorough studies analyses, work aims systematize knowledge dispersed highlight unsolved challenges, indicate propitious avenues future work.

Language: Английский

Citations

9