Revisión sistemática de la literatura sobre Ciudades inteligentes e Internet de las cosas

DOI. 10.54798/RQYQ9097

Autores/as

Palabras clave:

Smart City, IoT, Cloud, big data, blockchain.

Resumen

La tecnología de Internet de las cosas y la computación en la niebla desempeñan un papel destacado en la construcción de ciudades inteligentes, que promueven en gran medida el intercambio y la gestión de información urbana. Las tecnologías de red emergentes se pueden utilizar para facilitar la construcción de ciudades inteligentes, favoreciendo el desarrollo de los negocios urbanos, la industria y otras organizaciones, así como la gestión del turismo, transporte, seguridad ciudadana, entre otros. Por lo tanto, la realización de una ciudad inteligente mejorará en gran medida la fuerza de desarrollo integral de la ciudad. Analizamos las ventajas de la computación en la niebla, los algoritmos de seguridad, las aplicaciones utilizada, las técnicas, metodologías, métodos de privacidad y seguridad, arquitecturas de software, big data, blockchain y Deep Learnig para proponer una aplicación con una arquitectura que resuelve eficazmente los problemas de la ciudad inteligente.

Biografía del autor/a

Carlos Luis Lobatón Arenas , Universidad Nacional Toribio Rodriguez de Mendoza

Magister e Ingeniero Informatico y de Sistemas 

Docente Universitario 

Roberto Pérez Astonitas , Universidad Nacional Toribio Rodriguez de Mendoza

Docente Universitario 

Doctorando en la Universidad Cesar Vallejo 

Roberto Carlos Santacruz , Universidad Nacional Toribio Rodriguez de Mendoza

Docente Universitario 

Doctorando en la Universidad Cesar Vallejo 

Italo Maldonado Ramirez , Universidad Nacional Toribio Rodriguez de Mendoza

Docente Universitario 

Doctorando en la Universidad Cesar Vallejo 

Fredy Velayarce Vallejos, Universidad Nacional Toribio Rodriguez de Mendoza

Docente Universitario 

Doctorando en la Universidad Cesar Vallejo 

Citas

Abbas, K. a.-L. (2021). Convergence of Blockchain and IoT for Secure Transportation Systems in Smart Cities. Security and Communication Networks.

Ahmed, E. a. (2017). The role of big data analytics in Internet of Things. Computer Networks, 459-471.

Ali, G. a. (2020). IoT based smart parking system using deep long short memory network. Electronics, 1696.

Ang, L.-M. a. (2018). Deployment of IoV for smart cities: applications, architecture, and challenges. IEEE access, 6473-6492.

Anjomshoaa, A. a. (2018). City scanner: Building and scheduling a mobile sensing platform for smart city services. IEEE Internet of things Journal, 4567-4579.

Butt, U. M. (2021). Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities. IEEE Access, 47516-47529.

Canli, H. a. (2021). Deep Learning-Based Mobile Application Design for Smart Parking. IEEE Access, 61171-61183.

Castillo-Cara, M. a.-R.-J.-B. (2019). SAVIA: Smart city citizen security application based on fog computing architecture. IEEE Latin America Transactions, 1171-1179.

Chen, N. a. (2018). Smart city surveillance at the network edge in the era of iot: opportunities and challenges. Smart Cities, 153-176.

Cheng, B. a. (2017). FogFlow: Easy programming of IoT services over cloud and edges for smart cities. IEEE Internet of Things Journal, 696-707.

Dautov, R. a. (2018). Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms. Software: Practice and experience, 1475-1492.

Del Esposte, A. d. (2019). Design and evaluation of a scalable smart city software platform with large-scale simulations. Future Generation Computer Systems, 427-441.

Ge, C. a. (2020). A blockchain based decentralized data security mechanism for the Internet of Things. Journal of Parallel and Distributed Computing, 1-9.

Jan, M. A. (2019). SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application. Journal of Network and Computer Applications, 1-10.

Jawhar, I. a.-J. (2018). Networking architectures and protocols for smart city systems. Journal of Internet Services and Applications, 1-16.

Jiang, D. (2020). The construction of smart city information system based on the Internet of Things and cloud computing. Computer Communications, 158-166.

Khattak, H. A. (2019). Toward integrating vehicular clouds with IoT for smart city services. IEEE Network, 65-71.

Kitchenham, Barbara and Charters, Stuart. (2007). Guidelines for performing systematic literature reviews in software engineering. (Citeseer, Ed.)

Kumar, A. a. (2020). A novel simulated-annealing based electric bus system design, simulation, and analysis for Dehradun Smart City. IEEE Access, 89395-89424.

Li, M. a. (2018). Delay-tolerant data traffic to software-defined vehicular networks with mobile edge computing in smart city. IEEE Transactions on Vehicular Technology, 9073-9086.

Liu, Z. (2018). Research on the Internet of Things and the development of smart city industry based on big data. Cluster Computing, 789-795.

Memos, V. A.-G. (2018). An efficient algorithm for media-based surveillance system (EAMSuS) in IoT smart city framework. Future Generation Computer Systems, 619-628.

Meslin, A. a. (2020). Scalable mobile sensing for smart cities: The musanet experience. IEEE Internet of Things Journal, 5202-5209.

Mohamed, N. a.-J.-M. (2017). SmartCityWare: A service-oriented middleware for cloud and fog enabled smart city services. Ieee Access, 17576-17588.

Neelakantam, G. a. (2020). Reinforcement Learning Based Passengers Assistance System for Crowded Public Transportation in Fog Enabled Smart City. Electronics, 1501.

Nguyen, D. C. (2020). Integration of blockchain and cloud of things: Architecture, applications and challenges. IEEE Communications Surveys & Tutorials, 2521-2549.

Qian, L. P. (2020). Vehicular Networking-Enabled Vehicle State Prediction via Two-Level Quantized Adaptive Kalman Filtering. IEEE Internet of Things Journal, 7181-7193.

Qiu, T. a. (2018). How can heterogeneous internet of things build our future: A survey. IEEE Communications Surveys & Tutorials, 2011-2027.

Rego, A. a. (2018). Software Defined Network-based control system for an efficient traffic management for emergency situations in smart cities. Future Generation Computer Systems, 243-253.

Sharma, P. K. (2018). Li-Fi based on security cloud framework for future IT environment. Human-centric Computing and Information Sciences, 1-13.

Simmhan, Y. a. (2018). Towards a data-driven IoT software architecture for smart city utilities. Software: Practice and Experience, 1390-1416.

Sookhak, M. a. (2018). Security and privacy of smart cities: a survey, research issues and challenges. IEEE Communications Surveys & Tutorials, 1718-1743.

Su, P. a. (2021). Smart city information processing under internet of things and cloud computing. The Journal of Supercomputing, 1-20.

Suarez-Paez, J. a.-G.-L. (2019). A novel low processing time system for criminal activities detection applied to command and control citizen security centers. Information, 365.

Tariq, M. U. (2021). Security requirement management for cloud-assisted and internet of things⇔ enabled smart city. Computers, Materials and Continua, 625-639.

Tariq, M. U. (2021). Security Requirement Management for Cloud-Assisted and Internet of Things-Enabled Smart City. CMC-COMPUTERS MATERIALS CONTINUA, 625-639.

Tomar, P. a. (2018). A prototype of IoT-based real time smart street parking system for smart cities. In Internet of Things and Big Data Analytics Toward Next-Generation Intelligence (pp. 243-263). Springer.

Wang, D. a. (2019). Enhancing information security via physical layer approaches in heterogeneous IoT with multiple access mobile edge computing in smart city. IEEE Access, 54508-54521.

Wang, F. a. (2020). Deep learning for edge computing applications: A state-of-the-art survey. IEEE Access, 58322-58336.

Wu, Y. (2020). Cloud-edge orchestration for the internet-of-things: Architecture and ai-powered data processing. IEEE Internet of Things Journal.

Yang, P. a. (2020). Data security and privacy protection for cloud storage: A survey. IEEE Access, 131723-131740.

Zhang, C. (2020). Design and application of fog computing and Internet of Things service platform for smart city. Future Generation Computer Systems, 630-640.

Descargas

Publicado

2021-05-08

Número

Sección

Artículos

Categorías