Smart Cities: Foundations, Principles, and Applications
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There is still obscure and inconsistent understanding of the meaning of the smart city concept.
“Moreover, despite the wide use of the concept and its operationalisation today, there is still obscure and inconsistent understanding of its meaning (e.g., [2,5,8,16,20,25,36,93,119,137]).”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [119]
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Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures
Bütün, İ., Osterberg, P., & Song, H. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2953364 · Cited by 792 · see citing works
“Retail IoT will increase business efficiency, drive more sales and improve customer satisfaction [54].”
BackgroundNext-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics
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“There is also a study that addresses the concept of smart and connected communities (SCCs), which are no longer solely defined as smart cities [44][51][52].”
BackgroundApplications of the Internet of Things (IoT) in Smart Logistics: A Comprehensive Survey
Song, Y., Yu, F. R., Zhou, L., Yang, X., & He, Z. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3034385 · Cited by 355 · see citing works
“There are other surveys that mainly aim to present the IoT paradigm, such as articles [18]–[22].”
BackgroundAn overview of security and privacy in smart cities' IoT communications
Al-Turjman, F. M., Zahmatkesh, H., & Shahroze, R. (2019) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3677 · Cited by 327 · see citing works
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“[119] who provide a detailed overview of the foundations, principles, and applications of smart cities.”
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Cloud-Based IoT Applications and Their Roles in Smart Cities
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“[17] 2017 Smart cities: foundations, principles, and applications”
Security of the Internet of Things: Vulnerabilities, Attacks and Countermeasures
Bütün, İ., Österberg, P., & Song, H. (2020) · Scholarly Commons (Embry–Riddle Aeronautical University) · Cited by 217 · see citing works
A Differential-Private Framework for Urban Traffic Flows Estimation via Taxi Companies
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Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges, and Future Trends
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Differential Privacy for Industrial Internet of Things: Opportunities, Applications, and Challenges
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“In order to achieve smart city [124], smart grid is the most important foundation.”
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“Smart City: As an important IoT/CPS application, smart cities tend to optimize city operation so that energy effi-ciency, transportation services, people’s health and wellness, and economy can be improved by leveraging the information and communication technologies [112].”
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Smart Irrigation System for Precision Agriculture—The AREThOU5A IoT Platform
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“All of this leads us to what is called the 4 th Industrial Revolution [48] or Industry 4.0 [49], which refers to the idea of factories with machines improved by virtual reality and wireless connectivity, and a plant environment where sensors connected to computers visualize the entire production…”
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“Today, innovative application sectors include smart city, health, and industry 4.0 (Song et al. 2017; Bohlen et al. 2018; Abidi and Abidi 2019; Wong, Zhou, and Zhang 2019).”
BackgroundInfluentialSurvey on applications of algebraic state space theory of logical systems to finite state machines
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“The applications and principles of smart cities are discussed in [226, 227].”
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FPDP: Flexible Privacy-Preserving Data Publishing Scheme for Smart Agriculture
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Distant Domain Transfer Learning for Medical Imaging
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The Making of Smart Campus: A Review and Conceptual Framework
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Human Short Long-Term Cognitive Memory Mechanism for Visual Monitoring in IoT-Assisted Smart Cities
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Class-Incremental Learning for Wireless Device Identification in IoT
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Agricultural data sharing and sustainable development of ecosystem based on block chain
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PSOTrack: A RFID-Based System for Random Moving Objects Tracking in Unconstrained Indoor Environment
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IoT-Enabled Social Relationships Meet Artificial Social Intelligence
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“such as large scale video management [99] or massive devices multiple access [100].”
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“where its successful applications can be found in communication systems [1], cyber-physical systems [2], [3], and smart cities [4].”
BackgroundA Multi-Objective Task Scheduling Method for Fog Computing in Cyber-Physical-Social Services
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“) are connected to collect data related to energy, transportation, urban infrastructure, manufacturing, health care, and public safety and support much of the key infrastructure of smart-world CPSS, such as smart grids, smart transportation [1], smart health, and smart cities [2].”
BackgroundOptimized multimedia data through computationally intelligent algorithms
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Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities
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A smart healthcare reward model for resource allocation in smart city
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“The encryption and digital signature are two direct methods [14], [19].”
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Blockchain-Based Authentication and Trust Management Mechanism for Smart Cities
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“(ITS) with other vehicular technologies such as autonomous vehicles [33].”
BackgroundESFNet: Efficient Network for Building Extraction From High-Resolution Aerial Images
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“INTRODUCTION High-resolution aerial images are widely used in modern smart cities [1], [2].”
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A Survey of Big Data Analytics for Smart Forestry
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“Currently, big data is widely used in the fields of urban infrastructure construction [7], [114], [115], smart grid [8], intelligent transportation [9], emergency communication network [10], social network [116] and agriculture and forestry monitoring [11].”
BackgroundTrajectory Optimization for Drone Logistics Delivery via Attention-Based Pointer Network
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Leveraging big data in smart cities: A systematic review
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“In order to realize a modern smart city, it is necessary to grasp the current situation and change of land use [1], [2].”
BackgroundTrust Management With Fault-Tolerant Supervised Routing for Smart Cities Using Internet of Things
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“The complexity of cloud environments varies greatly, and they are constantly increasing, especially in the presence of malicious attacks [22]–[24].”
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“…and advanced traffic prediction models (e.g., delay prediction model, running time prediction model, and dwelling time prediction model) and pattern discovery models act as important supporting information for the controllers’ decision making in the real-time decision-making process [6], [7].”
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“It is envisioned that the RFID-based positioning systems will continue to gain popularity with the rise of the Internet of Things (IoT) [3]–[5].”
BackgroundiFinger : Intrusion Detection in Industrial Control Systems via Register-Based Fingerprinting
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“C YBER-PHYSICAL systems (CPS) intertwine software components and physical processes, which are pervasive in diverse industries [1], such as manufacturing, automotive, energy, and medical monitoring.”
BackgroundRouting With Traffic Awareness and Link Preference in Internet of Vehicles
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“" The author Song et al [9] explains the “foundations, principles, and applications of the Smart cities” as survey.”
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“…instrumented, interconnected and smart city aims to achieve a triple sustainability (social, economic and environmental) processing large amounts of data through ICT, embedded systems, IoT and AI, in order to enhance how a city works and to improve its citizen wellness and quality of life [2, 6].”
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“Furthermore, this may contribute to the smartness of the city and foster the concept of a smart city [6].”
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“CPS’s domains are aeronautics, transportation, health care, infrastructure, automation, and energy [14].”
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“The works in [14,15] also have introduced the Traffic Estimation and Prediction Systems (TrEPS) in VANET, which generally provide the predictive information needed for proactive traffic control and traveler schedule.”
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“T HE ubiquitous deployment of 5G New Radio (5G NR) accelerates the evolution of techniques in many fields [1], [2] that enlarges the scale of diverse implementations signifi-cantly.”
BackgroundEdge Intelligence Empowered Urban Traffic Monitoring: A Network Tomography Perspective
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“A CCURATE and timely knowledge of urban travel time is essential to improve the livability and sustainability of smart cities [1].”
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“…filtering, simple trend projection model, data interpolation using artificial neural networks (ANN), regression analysis and fuzzy logic, time series prediction model, exponential projection using ANN, recursive Bayesian technique, Hidden Markov Models, hidden semi-Markov model, etc. [16,17].”
BackgroundMethodRiPPAS: A Ring-Based Privacy-Preserving Aggregation Scheme in Wireless Sensor Networks
Zhang, K., Han, Q., Cai, Z., et al. (2017) · Sensors · doi:10.3390/s17020300 · Cited by 19 · see citing works
Jiang, X., Lin, G.-H., Huang, J.-C., et al. (2021) · Mathematical Problems in Engineering · doi:10.1155/2021/5527489 · Cited by 19 · see citing works
RetractedZhang, X., Lu, J., & Li, D. (2020) · Neural Computing and Applications · doi:10.1007/s00521-020-05272-0 · Cited by 19 · see citing works
Transfer Learning based Data-Efficient Machine Learning Enabled Classification
Niu, S., Wang, J., Liu, Y., et al. (2020) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00108 · Cited by 19 · see citing works
“We are entering a new era of smart cities, which offers great promise for improved wellbeing and prosperity but poses significant challenges [1]–[3].”
BackgroundOverview of Adaptive Protection System for Modern Power Systems
Chandraratne, C., Logenthiran, T., Naayagi, R. T., et al. (2018) · IEEE Innovative Smart Grid Technologies-Asia · doi:10.1109/isgt-asia.2018.8467827 · Cited by 19 · see citing works
Sensor Assisted Incident Alarm System for Smart City Applications
Shakya, S. (2020) · Journal of Trends in Computer Science and Smart Technology · doi:10.36548/jtcsst.2020.1.004 · Cited by 18 · see citing works
“Su et al [1], has elaborated the details of the internet of things applications that has are necessitated in making a city smart Zygiaris, et al [2] has put forth the “Assisting planners to conceptualize the building of smart city innovation ecosystems” Valanarasu et al [3], has proposed the “Smart and Secure Iot and…”
BackgroundFurlan, R., Sinclair, B. R., & Awwaad, R. (2023) · Journal of Urban Planning and Development · doi:10.1061/jupddm.upeng-3949 · Cited by 18 · see citing works
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2017-06-30
- OpenAlex
- W4255815195
- Cited by
- 225
- References
- 0
- Citations by year
- 2026: 4 · 2025: 17 · 2024: 5 · 2023: 15 · 2022: 34 · 2021: 43 · 2020: 47 · 2019: 33 · 2018: 18 · 2017: 9
- FWCI
- 43.39
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Wiley eBooks (publishedVersion)
- Topics
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Social Sciences › Urban Studies › Sustainable Urban and Rural Development
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Innovative Approaches in Technology and Social Development
- Keywords
- smart cities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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