Smart City Gnosys

Smart city article details

Title	Strategies And Tools For Big Data Analytics In Smart City Environments: Algorithms And Data Types
ID_Doc	53139
Authors	Rai A.; Kumar R.; Kumar N.; Fatima S.
Year	2025
Published	Advances in Electronics, Computer, Physical and Chemical Sciences
DOI	http://dx.doi.org/10.1201/9781003616252-74
Abstract	Smart cities produce extensive data that can be analyzed using big data analytics to provide valuable insights for decision-making. This study assesses the current state of big data analytics in smart cities through a systematic literature review (SLR), examining the algorithms, data types, and tools employed. A synthesis of fifteen articles from reputable databases like IEEE Xplore, Scopus, ScienceDirect, and SpringerLink reveals that algorithms such as ANN, Markov, and graph mining require enhancements to manage the vast volume, variety, and velocity of data in smart cities effectively. Social media data emerges as a crucial data type for informed decision-making in this context. Among tools, Hadoop stands out for its robustness in storing and analyzing diverse data types, while Spark excels in processing large volumes of data at high speed. The proposed pseudocode offers a framework for implementing big data analytics in smart cities, aiding in addressing specific challenges and generating actionable insights for decision-makers. © 2024 selection and editorial matter, Dr. Saiyed Salim Sayeed, Prof. Hemant Kumar Sharma, Dr. Pramod Kumar Yadav, Dr. Brijesh Mishra; individual chapters, the contributors.
Author Keywords	Big data; Hadoop; Prisma; smart city; systematic literature review

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