Smart Cities Using IoT

PurposeAs the number of devices that connect to the Internet of Things (IoT) has grown, privacy and security issues have come up. Because IoT devices collect so much sensitive information, like user names, locations, phone numbers and even how they usually use energy, it is very important to protect users' privacy and security. IoT technology will be hard to use on the client side because IoT-enabled devices do not have clear privacy and security controls.Design/methodology/approachIoT technology would be harder to use on the client side if the IoT did not offer enough well-defined ways to protect users’ privacy and security. The goal of this research is to protect people's privacy in the IoT by using the oppositional artificial flora optimization (EGPKC-OAFA) algorithm to generate the best keys for the ElGamal public key cryptosystem (EGPKC). The EGPKC-OAFA approach puts the most weight on the IEEE 802.15.4 standard for MAC, which is the most important part of the standard. The security field is part of the MAC header of this standard. In addition, the MAC header includes EGPKC, which makes it possible to make authentication keys as quickly as possible.FindingsWith the proliferation of IoT devices, privacy and security have become major concerns in the academic world. Security and privacy are of the utmost importance due to the large amount of personally identifiable information acquired by IoT devices, such as name, location, phone numbers and energy use. Client-side deployment of IoT technologies will be hampered by the absence of well-defined privacy and security solutions afforded by the IoT. The purpose of this research is to present the EGPKC with optimum key generation using the EGPKC-OAFA algorithm for the purpose of protecting individual privacy within the context of the IoT. The EGPKC-OAFA approach is concerned with the MAC standard defined by the IEEE 802.15.4 standard, which includes the security field in its MAC header. Also, the MAC header incorporates EGPKC, which enables the fastest possible authentication key generation. In addition, the best methodology award goes to the OAFA strategy, which successfully implements the optimum EGPKC selection strategy by combining opposition-based (OBL) and standard AFA ideas. The EGPKC-OAFA method has been proved to effectively analyze performance in a number of simulations, with the results of various functions being identified.Originality/valueIn light of the growing prevalence of the IoT, an increasing number of people are becoming anxious about the protection and confidentiality of the personal data that they save online. This is especially true in light of the fact that more and more things are becoming connected to the internet. The IoT is capable of gathering personally identifiable information such as names, addresses and phone numbers, as well as the quantity of energy that is used. It will be challenging for customers to adopt IoT technology because of worries about the security and privacy of the data generated by users. In this work, the EGPKC is paired with adversarial artificial flora, which leads in an increase to the privacy security provided by EGPKC for the IoT (EGPKC-OAFA). The MAC security field that is part of the IEEE 802.15.4 standard is one of the areas that the EGPKC-OAFA protocol places a high focus on. The Authentication Key Generation Protocol Key Agreement, also known as EGPKCA, is used in MAC headers. The abbreviation for this protocol is EGPKCA. The OAFA technique, also known as the combination of OBL and AFA, is the most successful method for selecting EGPKCs. This method is recognized by its acronym, OAFA. It has been shown via a variety of simulations that the EGPKC-OAFA technique is a very useful instrument for carrying out performance analysis.

The increasing world population and rapid industrial development is driving the need for sustainable management solutions and preservation of the natural resources and the ecosystem. The Internet of Things (IoT) and big data (BD) analytics are expected to play key role toward sustainability in areas such as water, agriculture, energy, transportation and smart city. In this chapter, the focus is sustainability in water. To address the issues of sustainability of clean accessible water for human use and other living things, a water ecosystem is presented. The water ecosystem consists of five major elements which are water source, treatment, reservoir, consumption and wastage. There are several issues faced in sustainable water supply such as decreasing fresh water resources, loss of revenue due to water loss, complexity in managing the increasing demands. Existing water-management models are not efficient in addressing these issues. In addition, due to seasonal variations, changes in environmental laws, varying plant-operating conditions and other factors, there is a need for effective and efficient monitoring. The application of IoT and BD analytics technology is promising and can provide sustainable management solution in water. The practical deployment of IoT and BD analytics consists of four major components which are IoT devices, communication technology, internet and BD. The emerging low power wide area (LPWA) communication technology is expected to enhance massive connectivity required for water monitoring, data acquisition and promote sustainability in water. Hence, in this chapter, the features of the water ecosystem, the system architecture of IoT and BD and the application in water sustainability, challenges such as cyber security, policy and regulations, accuracy of the data and technology interoperability are discussed.

With the emergence of fog and edge computing, new possibilities arise regarding the data-driven management of citizens’ mobility in smart cities. Internet of Things (IoT) analytics refers to the use of these technologies, data, and analytical models to describe the current status of the city traffic, to predict its evolution over the coming hours, and to make decisions that increase the efficiency of the transportation system. It involves many challenges such as how to deal and manage real and huge amounts of data, and improving security, privacy, scalability, reliability, and quality of services in the cloud and vehicular network. In this paper, we review the state of the art of IoT in intelligent transportation systems (ITS), identify challenges posed by cloud, fog, and edge computing in ITS, and develop a methodology based on agile optimization algorithms for solving a dynamic ride-sharing problem (DRSP) in the context of edge/fog computing. These algorithms allow us to process, in real time, the data gathered from IoT systems in order to optimize automatic decisions in the city transportation system, including: optimizing the vehicle routing, recommending customized transportation modes to the citizens, generating efficient ride-sharing and car-sharing strategies, create optimal charging station for electric vehicles and different services within urban and interurban areas. A numerical example considering a DRSP is provided, in which the potential of employing edge/fog computing, open data, and agile algorithms is illustrated.

Smart city is a city that increases the interactivity of its components and put emphasis on their functionality. Internet of Things technology (IoT) is an innovative solution in environmental protection. Usually, information on air quality is very scattered. This paper describes the test stages of pre-implementation works, focusing on the presentation of the technical design of the measurement nodes and the assumptions of the IT project. The goal of the project Intelligent Wireless Sensor Network Infrastructure (IIBSC) is, among others, to create a dense network of air quality measurement nodes at city, district or even street level. The concept is based on Internet of Things (IoT) technology using a matrix construction tool connected to multiple identical measurement nodes located in the test area. The project developed a hardware platform supporting sensors and resistant to external factors, and an ISIMPIO information platform based on edge processing technology for processing data from air quality sensors. Due to the use of Internet of Things (IoT) technology, an edge server using edge processing was designed. Edge server provides a complete ecosystem for building edge applications that are fully optimized for seamless field work. In addition, it allows the implementation of integrated Python software, the MQ Telemetry Transport support protocol (MQTT), time-series database, firmware update over a wireless network, and built-in security system. Measuring the concentration of particulate matter and other substances in the air will be useful for specialists assessing their dynamics. The technology and test installation selected corresponds to the leading solutions in this field in Europe and, in the future, should also be extended to less urbanised areas.

Major advances in the Internet of Things (IoT) technologies are offering unprecedented automated services to various sectors. IoT has shown great promise in transforming buildings and institutions into smart buildings and institutions, making traditional task management more efficient. In particular, there has been remarkable progress in successfully integrating IoT into various contexts, such as smart homes, businesses and cities. Success in such technological transformations is not only due to the proper deployment and implementation of IoT but also to the effective employment of related technologies, such as big data and cloud computing technologies, and making informed decisions on the inclusion of the required hardware and software for all the elements involved in the IoT environment. While a significant amount of IoT research in various contexts has been proliferated in recent years, attention given to its deployment for linguistic landscapes (LLs) is still very rare. The aim of this paper is to propose a smart Al-Noor Mall LL which takes into account the appropriate deployment of IoT tools and relevant technologies. The paper also thoroughly discusses the background of the field, covering IoT technologies, cloud computing, and big data studies, followed by a review of the recent publications involving the successful deployment of IoT technologies combined with big data and cloud computing in various contexts. The literature also covers the success factors that contribute to the robustness of the required real-time operating system (RTOS) in an IoT-based environment in order to enable IoT devices to manage their resources efficiently. Based on a detailed analysis of the literature, a three-level framework (i.e. the object, communications and application levels) together with the elements that are required for IoT-based smart LL solutions is proposed. A case study of Al-Noor Mall is used to validate the proposed framework and the results indicate that IBM Bluemix can help Al-Noor Mall management and customers to locate any particular shop in the huge shopping mall, which thereby makes the customers’ shopping experience more satisfying. Finally, the challenges (i.e. energy efficiency, security, and intelligent data analysis) facing the successful deployment of IoT technologies are discussed with proposals for future research directions in the IoT research field.

This research paper explores "Green IoT for Smart Cities," the integration of green technologies and Internet of Things (IoT) applications to foster environmentally sustainable urban environments. The study reviews the state-of-the-art developments in energy-efficient sensor networks, smart waste management, intelligent transportation systems, and optimized energy consumption in buildings. Real-world implementations of Green IoT initiatives in smart city projects worldwide are analyzed, highlighting successes and challenges in achieving sustainability objectives. The paper outlines potential benefits, including reduced carbon footprint, optimized resource allocation, improved air quality, and enhanced quality of life for citizens, as well as economic implications for cities and businesses. Limitations such as data security, privacy concerns, scalability, and interoperability among IoT systems are identified, along with future research directions. Overall, this paper emphasizes the significance of integrating Green IoT technologies into smart city frameworks to address environmental challenges in urbanization, offering valuable insights for policymakers, researchers, and practitioners.

This study aims to analyze the use of Internet of Things (IoT) technology in the novel "Hujan" by Tere Liye. This novel shows how the love story and life struggle of the main character, Lail, are connected to the development of IoT technology. This research aims to understand how IoT technology shapes the story from the aspect of the situation to the characteristics of the related IoT devices. Through the hermeneutic method, this research identifies the use of IoT in several contexts. The findings obtained in the novel are 1) Smart Buildings, 2) Smart Farming, 3) Smart Home, 4) Smart City, and 5) Smart Healthcare. The results show that IoT technology is a key element in achieving a more advanced and connected digital society, bringing positive impacts in daily life and providing smart solutions to various global challenges.

Introduction Today, the rapid acceleration of urbanization has made it necessary to reconsider the balance among energy consumption, environmental sustainability, and quality of life. Buildings, which account for a significant share of cities’ carbon footprint, play a critical role in efforts to improve energy efficiency and ensure user well-being. In this context, advances in digitalization and Internet of Things (IoT) technologies have enabled buildings to evolve beyond mere physical structures into dynamic, data-driven, and user-interactive systems. Within this framework, the present study constitutes a systematic literature review addressing the effects of indoor environment design in smart cities on energy efficiency (E), user comfort (C), and environmental sustainability (S). In recent years, IoT-based sensor and control technologies have reconfigured approaches to energy management in buildings by enabling the continuous monitoring of environmental parameters such as temperature, humidity, carbon dioxide levels, lighting, and movement, while also strengthening user experience through a holistic perspective. Methods In this regard, the study examined 76 different works in the literature, including field applications, experimental research, and conceptual models. These studies were evaluated through an inductive thematic analysis approach based on content and classified according to recurring conceptual clusters in the literature. Results An examination of these sources reveals that the contributions of IoT technologies to smart buildings and cities are multidimensional in nature. This extensive body of knowledge in the literature demonstrates that IoT is not merely a technical infrastructure but also an ecosystem that transforms energy, health, the environment, transportation, and social life. It is evident that the data derived from all reviewed studies were synthesized under the headings of energy efficiency, indoor environmental quality and comfort, smart city infrastructure, user interaction, security/facility management, and industrial applications. Accordingly, the present study evaluates the contributions of IoT-based solutions to reducing energy consumption, improving environmental conditions, and supporting user-centered indoor design. The reviewed studies show that these technologies not only enhance energy efficiency (maximum savings: smart parking [92.6%] and smart lighting [73.2%]; average building savings: 20–30% through BEMS and IoT systems; HVAC optimization: 30–70% through artificial intelligence), but also support user health and comfort (the use of smart systems is generally expected to produce an improvement of more than 20% in comfort levels, while this rate can reach the 70–90% range with advanced personalized models). Furthermore, they demonstrate that IoT-based systems play a strategic role in achieving environmental sustainability goals, reducing carbon emissions, and implementing smart city policies. Discussion The original contribution of this study lies in its systematic synthesis of energy, comfort, and sustainability within an integrated thematic classification framework, thereby revealing trends in the field, research gaps, and potential future directions.

In recent times, a massive amount of smart devices or objects are connected that enhances the scale of the digital world. These smart objects are referred as “things” or physical devices that have the potential to sense the real-world physical objects, collect the data, and network with others. The objects are connected through the internet, which crafts the terminology of Internet of Things (IoT). IoT has been developed and become the center of consideration due to the novelty of embedded device and a rapid enhancement in its number. This increase is resulting in the creative applications of smart environments. Smart transportation is a central stake for the quality of life of citizens in smart environment. Smart transportation involves the use of devices and sensors in the control system of vehicle; for example navigation system of cars, traffic signal management system, number recognition system and speed monitoring system. In this research article, we propose architecture for smart transportation system using Big Data analytics, in order to achieve real time processing and facilitate a friendly communication in the environment of IoT based smart transportation. The proposed architecture is a 3-phase scheme which is responsible for the organization and management of Big Data, real-time processing of Big Data and service management. The proposed architecture is a generic solution for the smart transportation planning using real time Big Data processing. The proposed scheme is realized using Spark over single node Hadoop setup with various input libraries. A huge amount of data from different authentic and reliable sources is measured to validate the proposed architecture. In addition, the effectiveness of proposed scheme also highlighted with regard to throughput.

The Internet of Things (IoT) has become one of the most transformative technologies in building the smart city concept. With the potential to connect diverse devices through internet networks, IoT enables increased efficiency in sectors such as transportation, energy and health. This research aims to explore the role of IoT in smart city implementation, highlighting its challenges and opportunities. Based on a literature review and empirical analysis, this research finds that although IoT can improve the quality of life in smart cities, there are several major challenges that must be overcome, such as security, scalability and interoperability issues. This article provides deeper insight into how to optimize IoT deployment to achieve urban sustainability. The novelty in this research lies in the integrative approach that combines the analysis of technical and non-technical challenges in IoT implementation in smart cities. This research also proposes practical solutions to overcome these challenges, such as the development of public policies that encourage IoT interoperability and security.

The idea to connect everything to anything and at any point of time is what vaguely defines the concept of the Internet of Things (IoT). The IoT is not only about providing connectivity but also facilitating interaction among these connected things. One of the most significant concerns of IoT is to provide security assurance for the data exchange because data is vulnerable to some attacks by the attackers at each layer of IoT. The IoT has a layered structure where each layer provides a service. The security needs vary from layer to layer as each layer serves a different purpose. This paper aims to analyze the various security and privacy threats related to IoT. Some attacks have been discussed along with some existing and proposed counter measures. In developing countries, IoT technologies have brought increased efficiency and effectiveness to existing processes. For instance, farmers are using remote sensors to monitor moisture levels and soil conditions in the fields to avoid crop failure. Similar sensors are providing remote control of micro-irrigation pumps for example in India and water pumps in Rwanda, improving functionality and reducing repair intervals. And in Haiti, healthcare professionals are using “smart” thermometers to better track vaccine delivery and storage. Totally the paper presents an overview of the enablement of IoT in developing countries and discusses the visions, general applications, opportunities and challenges of IoT in these countries. It also touches on issues relating to security, privacy, trust and the accompanied complexity. The potential applications for IoT are countless and can optimize processes with a direct impact on society. Certain challenges have to be addressed to make IoT deployment successful. It will be shown that some of the challenges can be turned into opportunities and that IoT has good chances to succeed in developing countries. This report explores the current use and potential of Internet of Things (IoT) technologies in tackling global development challenges, highlighting a number of specific instances where IoT interventions are helping to solve some of the world’s most pressing issues it presents summary conclusions on what is required for the IoT to reach billions of people living in the developing world, and also to accelerate income growth and social development as a result.

Internet of Things (IoT) envisages a reality in which people and objects are interconnected in such a way that a series of services, previously unthinkable, become real. The impact of IoT technologies is already tangible in industry, particularly under the Industry 4.0 initiative, but yet far to be fully exploited in other areas, such as building automation. This paper highlights the importance of using IoT and other emergent technologies to develop building automation applications that serves as base in smart cities, particularly supporting the interoperability among home automation solutions provided by different manufacturers. For this purpose, a low cost IoT enabler solution for building automation is presented, based on the use of cyber-physical systems, as backbone to integrate different IoT technologies and building automation technologies. The proposed approach was successfully implemented in an open space laboratory.

Internet-of-Things (IoT) technologies in the past decade have matured both in the hardware and software aspects for large-scale deployment. Alongst IoT, the Smart Cities Concept is also taking shape. Pilot projects and implementations in multiple cities are trying to find out the feasibility and applicability of Smart City Information and Communications Technology (ICT). IoT assets along with the legacy assets are essential for Smart City ICT implementations. With the evolution of Smart Cities and concentration of people in the cities, it becomes necessary to be ready for future Humanitarian Assistance and Disaster Recovery (HADR) operations. But the huge void in heterogeneous IoT and legacy technologies create a big hurdle in establishing and handling the HADR operations. This aim of this PhD is to investigate the interoperability aspects amongst the various IoT technologies and Smart City concepts. The goal is to create a framework and an architecture for allowing the interoperable operation of ICT assets in a Smart City environment. This framework would enable rapid deployment of HADR relevant technology assets on the ground allowing multiple HADR agencies to seamlessly communicate while having shared Situational Awareness (SA) and complementing each others capabilities.

The Internet of Things (IoT) technology will soon become an integral part of our daily lives to facilitate the control and monitoring of processes and objects and revolutionize the ways that human interact with the physical world. For all features of IoT to become fully functional in practice, there are several obstacles on the way to be surmounted and critical challenges to be addressed. These include, but are not limited to cybersecurity, data privacy, energy consumption and scalability. The Blockchain decentralized nature and its multi-faceted procedures offers a useful mechanism to tackle several of these IoT challenges. However, applying the Blockchain protocols to IoT without considering their tremendous computational loads, delays, and bandwidth overhead can let to a new set of problems. This review evaluates some of the main challenges we face in the integration of Blockchain and IoT technologies and provides insights and high level solutions that can potentially handle the shortcomings and constraints of both IoT and Blockchain technologies.

The convergence of Smart Cities and the Internet of Things (IoT) represents a revolutionary leap in urban development, reshaping the way cities function and interact with their inhabitants. This paper provides a concise overview of the landscape, focusing on emerging technologies and challenges within the realm of Smart Cities and IoT integration. Smart Cities leverage IoT technologies to enhance efficiency, sustainability, and the overall quality of urban life. This review explores the key components of this transformative shift, including sensor networks, data analytics, and advanced connectivity solutions. It examines how these technologies facilitate real-time data collection, enabling cities to make informed decisions for optimized resource management and improved citizen services. However, the path to realizing the full potential of Smart Cities and IoT is not without challenges. Privacy concerns arise as urban environments become more interconnected, raising questions about data security and individual rights. Additionally, the proliferation of IoT devices introduces potential vulnerabilities that demand robust cybersecurity measures. This study serves as a concise guide for policymakers, urban planners, and technology stakeholders, offering insights into both the promising innovations and the critical challenges associated with the integration of Smart Cities and IoT technologies. As cities globally navigate the complexities of this paradigm shift, understanding these dynamics is crucial for fostering sustainable, resilient, and technologically advanced urban environments.