Introduction to the special issue on big data analytics with internet of things‐oriented infrastructures for future smart cities

Abstract

A smart city refers to a city equipped with the basic infrastructure to provide a good quality of life and a clean and sustainable environment to its citizens using smart technology-based solutions. It is a smart way to provide the best services to its residents and develop the infrastructure. The smart city focuses on controlling available resources safely, sustainably, and efficiently to improve the economy and societal outcomes. People, systems, and things in the cities generate data. However, their heterogeneity makes it difficult to publish, organize, discover, interpret, combine, analyse, and consume them. The next generation of these technologies, including the 6G and intelligent internet of things (6G/IIoT), have been recently proposed aiming to provide endless networking capabilities to the city users. General estimates revealed that the number of smart IoT devices would approach over 50 billion by 2022. With the proliferation of smart IoT devices, smart applications are expected to lead to further innovation in 6G/IIoT-oriented cities. This special issue aims to stimulate discussion on the IoT and Big Data analytics for future smart cities with smart applications including smart health, smart governance, smart homes, and smart buildings, smart mobility and transportation, smart factories, and smart data-driven decision-making. In this special issue, each paper was reviewed by three or more experts during the assessment process. After evaluating the overall scores, six papers were selected for inclusion in this special issue. The selected papers present in-depth studies of practical issues and challenging problems in Big Data Analytics with IoT-oriented Infrastructures for Future Smart Cities. This paper (Haque et al., 2022) focuses on the overview and conceptual development of the smart city. Initially, the work discusses the smart city idea and fundamentals explored in various pieces of literature. Further various smart city applications along with notable implementations are put forth to understand the quality of living standards. This article (Zhang & Liu, 2022) conducts APP page management through technical analysis of mobile devices and user experience-oriented design. The framework design of the browser and the construction of the interface MVC design mode, and then through the questionnaire survey method to the user experience needs and expectations of the medical APP to design the main key of the page function. In this paper (Galyan et al., 2022), simulation results of the proposed method attain substantial performance improvement in target node 3D position accuracy than the earlier proposed range-free methods. The proposed technique is useful for mapping several instances like fire hazards in forests, tracking of workers at different installation sites, solar plant tracking in smart cities, and so forth. In this work (Jain et al., 2022), the authors have applied logistic regression, decision tree, support vector machine, linear discriminant analysis, quadratic discriminant analysis, naïve Bayes, random forest, and k-nearest neighbour algorithms to predict the stability of the grid. The authors have used the smart grid stability data set freely available on Kaggle to train and test the models. This work (Mandloi & Arya, 2022) proposed a Machine Programming based approach for the deployment of 5 G-enabled UmBSs. The centroid-based clustering algorithms such as; K-means, K-medoid, and FCM were proposed to find the centroid of the cluster. Then, the UmBSs were deployed at the centroid location of each cluster. This paper (Dixit et al., 2022) presents a systematic outlook of AI techniques in anomaly detection of AEVs. A solution taxonomy is proposed based on research gaps in existing surveys, and the evaluation metrics for AI-based anomaly detection are discussed. The open challenges and issues in AI deployments are discussed and a case study is presented on anomaly classification through a weighted ensemble technique.

Topics & Concepts