{"title":"智慧城市中的大数据和物联网应用:最新进展、挑战和关键问题","authors":"Elias Dritsas, Maria Trigka","doi":"10.1016/j.iot.2025.101770","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid urbanization of modern cities has been propelled by the convergence of the Internet of Things (IoT) and Big Data, enabling real-time monitoring, predictive analytics, and intelligent automation across transportation, energy, healthcare, and public safety. This survey systematically reviews advancements in IoT-enabled infrastructure, Big Data analytics, edge and cloud integration, digital twin technology, and blockchain for secure and scalable data management. The literature selection focused on peer-reviewed works published from 2020 onward, prioritizing journal and conference papers that present concrete smart city deployment or technical frameworks. Each technological domain is examined with respect to its operational benefits, limitations, and role in enabling resilient urban ecosystems. Emerging trends such as 6G-enabled IoT, federated learning (FL), quantum computing, and swarm intelligence are explicitly contextualized in terms of their maturity, current research focus, and prospective impacts. To address persisting challenges, including scalability bottlenecks, interoperability gaps, cybersecurity threats, and data governance issues, the survey identifies actionable directions such as geospatial data standardization, energy-aware orchestration, and lightweight consensus mechanisms. These targeted measures provide a foundation for guiding future research and practice toward secure, efficient, and human-centric smart city development.</div></div>","PeriodicalId":29968,"journal":{"name":"Internet of Things","volume":"34 ","pages":"Article 101770"},"PeriodicalIF":7.6000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Big data and Internet of Things applications in smart cities: Recent advances, challenges, and critical issues\",\"authors\":\"Elias Dritsas, Maria Trigka\",\"doi\":\"10.1016/j.iot.2025.101770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The rapid urbanization of modern cities has been propelled by the convergence of the Internet of Things (IoT) and Big Data, enabling real-time monitoring, predictive analytics, and intelligent automation across transportation, energy, healthcare, and public safety. This survey systematically reviews advancements in IoT-enabled infrastructure, Big Data analytics, edge and cloud integration, digital twin technology, and blockchain for secure and scalable data management. The literature selection focused on peer-reviewed works published from 2020 onward, prioritizing journal and conference papers that present concrete smart city deployment or technical frameworks. Each technological domain is examined with respect to its operational benefits, limitations, and role in enabling resilient urban ecosystems. Emerging trends such as 6G-enabled IoT, federated learning (FL), quantum computing, and swarm intelligence are explicitly contextualized in terms of their maturity, current research focus, and prospective impacts. To address persisting challenges, including scalability bottlenecks, interoperability gaps, cybersecurity threats, and data governance issues, the survey identifies actionable directions such as geospatial data standardization, energy-aware orchestration, and lightweight consensus mechanisms. These targeted measures provide a foundation for guiding future research and practice toward secure, efficient, and human-centric smart city development.</div></div>\",\"PeriodicalId\":29968,\"journal\":{\"name\":\"Internet of Things\",\"volume\":\"34 \",\"pages\":\"Article 101770\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2025-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Internet of Things\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2542660525002847\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet of Things","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542660525002847","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Big data and Internet of Things applications in smart cities: Recent advances, challenges, and critical issues
The rapid urbanization of modern cities has been propelled by the convergence of the Internet of Things (IoT) and Big Data, enabling real-time monitoring, predictive analytics, and intelligent automation across transportation, energy, healthcare, and public safety. This survey systematically reviews advancements in IoT-enabled infrastructure, Big Data analytics, edge and cloud integration, digital twin technology, and blockchain for secure and scalable data management. The literature selection focused on peer-reviewed works published from 2020 onward, prioritizing journal and conference papers that present concrete smart city deployment or technical frameworks. Each technological domain is examined with respect to its operational benefits, limitations, and role in enabling resilient urban ecosystems. Emerging trends such as 6G-enabled IoT, federated learning (FL), quantum computing, and swarm intelligence are explicitly contextualized in terms of their maturity, current research focus, and prospective impacts. To address persisting challenges, including scalability bottlenecks, interoperability gaps, cybersecurity threats, and data governance issues, the survey identifies actionable directions such as geospatial data standardization, energy-aware orchestration, and lightweight consensus mechanisms. These targeted measures provide a foundation for guiding future research and practice toward secure, efficient, and human-centric smart city development.
期刊介绍:
Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT.
The journal will place a high priority on timely publication, and provide a home for high quality.
Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.