Green Internet of Things and Big Data Application in Smart Cities Development

Abstract

This study reveals that increases in the global population command an augmented demand for products and services that calls for more effective ways of using existing natural resources and materials. The recent development of information and communication technologies, which had a great impact on many areas, also had a damaging effect on the environment and human health. Therefore, societies are moving toward a greener future by reducing the consumption of nonrenewable materials, raw materials, and resources while at the same time decreasing energy pollution and consumption. Since information technology is considered a tool for solving ecological difficulties, the green Internet of things (G-IoT) is playing a vital role in creating a sustainable home. Extensive data analysis is required to obtain a valuable overview of the large and diverse data generated by the G-IoT. The gathered information will facilitate forecasting, decision-making, and other activities related to smart urban services and then contribute to the incessant development of G-IoT technology. Therefore, even if sustainable and smart cities become an actuality, the G-IoT approach and the knowledge gained through big data (BD) analysis will make cities more sustainable, safer, and smarter. The goal of this article is to combine innovation in technological development with the main focus on resource sharing in creating cities that improve the quality of life while reducing pollution and realizing more efficient use of the raw materials. In the practice of big data science, it is always of interest to provide the best description of the data under consideration. Recent studies have pointed out the applicability of the statistical distributions in modeling data in applied sciences. In this article, we introduce a new family of statistical models to provide the best description of the life span of the wireless sensors network’s data. Based on the proposed approach, a special submodel called new exponent power-Weibull distribution is studied in detail. The applicability of the proposed model is shown by analyzing the life span of the wireless sensors network’s data.

Innovation Trajectories for a Society 5.0

“…To bridge the gap between Industry 4.0 and Society 5.0 in order to co-create value for the long-term sustainability of the ecosystem, some challenges still exist. For example, Yang et al, [27] and Bibri et al, [23] suggest using sensors to create data processing platforms and computing models in the context of sustainable smart cities of the future from the perspective of Society 5.0. In particular, an application of sensors is proposed by Francisco et al [25] and is aimed at the area of the energy efficiency of buildings.…”

“…These abilities turn simple objects into intelligent devices that can operate in real time [29,31], adapt to circumstances, and function without human intervention or supervision [59,62]. Sensors and intelligent actuators are already implemented [27] and give rise to a huge amount of data collection. The data collected must be stored, analyzed, and processed before being presented in a useful form.…”

“…They are defined as a set of urban planning strategies aimed at optimizing and innovating public services [63]. This makes it possible to relate the material infrastructures of cities [52] to the human, intellectual, and social capital of citizens, thanks to the widespread use of new technologies of communication [27,64], mobility [65,66], the environment, and energy efficiency [23,25,[67][68][69]. The ultimate goal is to improve the quality of life and meet the needs of citizens, businesses, and institutions.…”

“…The Industry 4.0 and Society 5.0 Relationship Industry 4.0 (I4.0) has recently become a relevant phenomenon and is one of the most important international topics in both industry and academia today [17][18][19]. I4.0 can be understood as the combination of physical and digital technologies, such as artificial intelligence (AI) [13,20,21], cloud computing [22,23], Big Data [21,24], adaptive robotics [13], augmented and virtual realities [25], additive manufacturing [26], and the Internet of Things (IoT) [27,28].…”

Overview of 5G & Beyond Security

“…The development of the mobile network security environment is demonstrated in Figure 4. By the beginning of the 1970s, only phreaking and hacking attacks left telephone networks vulnerable, and technological progress dramatically occurred at present [34] and [35]. Telecommunications have demonstrated that an informatics program has changed dramatically.…”