In this paper, we exploit state-of-the-art energy management in sustainable smart cities employing the Internet of Energy (IoE). The primary goal of this study is to leverage cutting-edge energy management techniques through the IoE in sustainable smart cities to bring about significant improvements in clean energy processes while targeting environmental benefits, efficiency enhancements, sustainability, and cost reduction. In this work, we present a comprehensive exploration of energy management strategies within the context of IoE-enabled sustainable smart cities. Firstly, we provide a detailed classification of diverse energy management approaches pertinent to IoE-based sustainable smart cities. This classification covers a spectrum of methodologies, including scheduling optimization, the design of low-power device transceivers, cognitive frameworks, and the integration of cloud computing technology. Furthermore, we highlight the pivotal role of smart grids as fundamental elements in the establishment of smart cities. Within this context, we offer a comprehensive overview of the essential components that underlie smart grids, with a notable focus on the intricate realm of micro/nanogrids. Moreover, our research delves comprehensively into energy harvesting within the context of smart cities. We analyze crucial facets like receiver design, energy optimization methods, a variety of energy sources, efficient energy scheduling approaches, and the establishment of effective energy routing mechanisms. Additionally, we delve into the multifaceted nature of sustainable smart cities across various domains. Our investigation reaches its culmination in the creation of a novel conceptual framework and the identification of enabling technologies centered on effective energy management. Lastly, we contribute to the field by outlining the current research challenges and mapping potential research directions relevant to energy management within sustainable smart cities, capitalizing on the capabilities of the IoT.

The concept of smart and connected healthcare has emerged in response to the growing demand for the improvement of healthcare systems and the increasing prevalence of chronic diseases. Looking towards the future, smart healthcare holds great potential to transform the healthcare industry by providing more efficient, personalized, and accessible healthcare services. This paper delves into the concept of intelligent, interconnected, and customized healthcare systems within the Internet of Medical Things (IoMT) framework. It explores the utilization of cutting-edge technologies, including the IoMT, in conjunction with big data, cloud computing, artificial intelligence, and blockchain to provide healthcare services that are not only more efficient but also more convenient and personalized. It draws on existing literature, bibliometric data, and global marketing analysis to gain a deeper understanding of these technologies and their impact on the healthcare system. We have explored several upcoming features of the Healthcare 5.0 paradigm, which represents the next evolution in healthcare systems focusing on a more personalized and patient-centric approach. We introduce a healthcare architecture specifically designed for the IoMT that prioritizes the security considerations associated with devices. Finally, we have focused on addressing open research challenges, particularly those related to fundamental social needs, such as ensuring equitable access to smart and connected healthcare systems.

Intelligent transport systems are essential for urban residents in large cities, facilitating not only vehicular mobility but also the movement of residents. Urban mobility is a significant concern, particularly in the context of the Internet of Things, where vehicles evolve into intelligent nodes within sensor networks. This convergence of the mobile Internet and the Internet of Vehicles (IoV) redefines urban mobility. In the context of smart cities, it examines the evolving IoV and communication models, unveiling both current and emerging trends. This research paper offers insights into global market trends and conducts bibliographic data analysis to illuminate the present and future potential of the IoV. It highlights IoV applications, the layered architecture, and connected and autonomous vehicle levels (Level 0 to Level 5). The communication model is explained, along with addressing research challenges and future directions. The conclusion summarizes the key findings and emphasizes the main points addressed in the study.

Currently, the Internet-of-Things (IoT) is a highly effective and realistic wireless communication system concept. In this article, we have explored the vision of sixth-generation (6G)-IoT enabled communication networks for sustainable smart cities with our intelligent framework. The proposed framework consists of real-time sensing, computing and communication systems. Further, we have emphasized the architecture and requirements of the 6G-IoT network in relation to the increasing demand for establishing sustainable smart cities. In addition, we describe emerging technologies for 6G in terms of artificial intelligence/machine learning, spectrum bands, sensing networks, extreme connectivity, new network architectures, security, and trust that can enable the development of 6G-IoT network architectures to ensure the quality-of-service (QoS)/quality-of-experience (QoE) that is large enough to support a massive number of devices. Moreover, we have highlighted potential challenges and research directions for future 6G-IoT wireless communication research for the sustainable smart cities.

Cattle farming is one of the major branches of agriculture. People who grew and monitor cattle often don’t have just a few of them. Instead, they have many numbers of cows, horses, oxen, etc. When the number of cattle increases, it becomes tougher for the one who maintains the cattle to check up on their health individually. To resolve this issue, this study aims the development of an IoT system that is capable of monitoring the temperature and heartbeat rate of the sensor periodically. This is achieved using sensors like temperature sensors, heartbeat rate sensors, etc. It also uses software like ThingSpeak, Rasbian OS, etc. The temperature of the cattle is measured with a temperature sensor and transmitted to the raspberry pi. The heart rate sensor also sends data about the cattle's heartbeat rate to the pi. The GPS sends the cattle's latitude and longitude to the module. The information is then sent to the ThingSpeak software. The data collected by the sensors is displayed by ThingSpeak software. The data includes the temperature of the cow, the heartbeat rate of the cattle, and the latitude and longitude details of the cow.