Smart Cities Research Articles

Edge-Cloud Continuum: Integrating Edge Computing and Cloud Computing for IOT Applications

Abstract: This research will use a mixed-method approach with qualitative understanding and the quantitative analysis of data to examine how edge and cloud computing blend into the frame of an edge-cloud continuum for IoT applications. It adopts an exploratory and descriptive approach to research in carrying out a holistic assessment of the edge-cloud continuum in efficiency, scalability, and performance. The data required for collection was obtained through simulations using the IoTSim-Osmosis framework and also through the use of other case studies and literature published elsewhere before preparing this document. The data is usual to what has been used in several IoT deployments, including smart cities, the health sector, and industrial automation. Based on those KPIs - latency, 70.83%; bandwidth utilization, 40% reduced; energy consumption, 25% reduced; and task completion rate improved by 18.75% - the edge-cloud continuum significantly outperforms traditional cloud-only systems. Especially a very big reduction in latency is significantly important for real-time applications as it would drive the potential ability to improve responsiveness in those applications, like autonomous cars and smart healthcare. The current study demonstrates that the edge-cloud continuum can efficiently enhance resource allocation and enhance the effectiveness of complex IoT systems. This has wide implications for designing and implementing IoT solutions across industry domains

Edge computing task scheduling method based on user’s social relations: a construction and solution for Smart City Library

In the realm of the development of a Smart City Library, the integration of robust edge computing is vital. The research suggests a novel task-scheduling model for edge computing, leveraging user’s social relationships. Analyzing these connections involves constructing a user’s social relationship graph by implementing mathematical convolution and the Jaccard similarity ratio. This precise quantification of social ties ensures secure and reliable task scheduling. An equipment connection graph of a user equipment service is also crafted based on Euclidean distance, aligning task scheduling with device-to-device (D2D) communication conditions. Combining a user’s social relationship graph and a user’s device-service device connection graph creates a task-device bipartite graph. On the other hand, the calculation of a task execution cost and edge weight determination finalize a scheduling model. Implementing the proposed method for constructing a model for edge computing task scheduling based on utilizing the Kuhn–Munkres (KM) algorithm demonstrates positive impacts, which are few delays and less energy consumption, on edge computing task scheduling. For instance, when the social threshold score changes from 02. To 0.6, the total task execution delay time increases from 23 to 32, which is the best when compared with other algorithms. The approach strengthens security and reliability while decreasing task execution delays and energy consumption. This research advances edge computing for Smart City Libraries, promising transformative implications.

Suggestions on Grassroots Fire Safety Management for Smart City Construction

In this context, China has proposed "adhering to the overall concept of national security" and "adhering to the positive interaction between high-quality development and high-level security" to ensure the safety of life and property of the people in their pursuit of a better life. In the field of safety in China, fire safety has always been the top priority, and its impact has been widely reflected in the social, scientific and technological and economic fields, but there are still large shortcomings in the grass-roots fire safety management in China, so it is particularly important to find a suitable management approach. Based on this, this paper synthesizes the views of various scholars, summarizes and analyzes the exploration of grass-roots fire safety governance and the existing problems, and finds the appropriate governance approach, in order to provide a certain reference for China's grass-roots fire safety governance

Investigation on Wireless Energy Harvesting Techniques for Internet of Things

The Internet of Things (IoT), by collecting, processing, and uploading information from its surroundings, makes the preliminary base for the construction of a smart city. To utilize IoTs fully, establishing wireless sensor networks (WSNs) as a subset technology of the system is pivotal. Among all energy sources, the radio frequency energy, with its extensive coverage, easy accessibility, and characteristic of being free of spatial limitations, is the optimal choice for energy harvesting [1]. This project aims to conduct a thorough investigation on a wideband wireless energy harvester with high efficiency and verify its application prospect in portable power sources. I have comprehensively studied and modeled the components of a wireless energy harvesting system. I further fabricated the wireless energy harvester based on the optimized circuit diagram. It successfully featured a high sensitivity of 2701 V/W at 1.05 GHz or a wide bandwidth ranging from 0.5 GHz to 2.5 GHz. Finally, I used the devised sensor in real-life scenarios and successfully powered a thermos hygrometer and a LED. I built a network of multiple energy harvesters with an in-situ monitoring system, analogous to the IoT. In this work, I have proposed a methodology to fabricate wireless energy harvesters with high sensitivity and wide bandwidth. This research will bridge the gap between the scientific exploration for novel devices and their application in real-life scenarios.

Functional Variant of Polynomial Analogue of Gandy’s Fixed Point Theorem

In this work, a functional variant of the polynomial analogue of Gandy’s fixed point theorem is obtained. Sufficient conditions have been found to ensure that the complexity of recursive functions does not exceed polynomial bounds. This opens up opportunities to enhance the expressivity of p-complete languages by incorporating recursively defined constructs. This approach is particularly relevant in the following areas: AI-driven digital twins of smart cities and complex systems, trustworthy AI, blockchains and smart contracts, transportation, logistics, and aerospace. In these domains, ensuring the reliability of inductively definable processes is crucial for maintaining human safety and well-being.

A Study on the Management of University-Based Living Labs in Smart City Environments -A Case Study of the Dangjin Smart City Living Lab Located in Chungcheonnam-do-

A Study on the Management of University-Based Living Labs in Smart City Environments -A Case Study of the Dangjin Smart City Living Lab Located in Chungcheonnam-do-

The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation

Although urban digital twins are still at an embryonic stage of development, their use cases are multiple, ranging from big data aggregation to simulations. Additionally, predictions can be rendered and quickly implemented using actuators to transform physical environments and influence urban life. In this article, we investigate the potential of an agent-based model in a smart city setting to predict emergent behavior in relation to the suppression of civil violence by implementing crowd management practices. To this end, we designed a simulation environment that includes cameras in public spaces and wearable sensors, and considers nudging and self-nudging processes supported by a surveillance apparatus. Building on Epstein’s threshold-based model of civil violence, the proposed simulation is informed by surveillance theories and contemplates methods for crowd monitoring and social control. The experiments’ results provide insights into how specific measures and combined actions may influence the suppression of civil violence in public spaces and can be useful to inform crowd management activities and policymaking. Moreover, we use the simulation to reflect upon the potentials and limitations of integrating agent-based models into urban digital twins and emphasize the imminent risks for individuals and democratic societies of employing a ubiquitous surveillance apparatus endowed with the autonomy to trigger actuators.

Artificial intelligence and IoT driven system architecture for municipality waste management in smart cities: A review

Numerous devices, including sensors, RF ID, and other types of smart devices, have been developed as a result of the Artificial Intelligence (AI), and Internet of Things (IoT) revolution. Urban areas can become smart by monitoring and collecting data about their surroundings through the deployment of technologies with powerful computational capabilities and those that are converted into intelligent things. Waste management is among the most significant issues in smart cities, a rise in metropolitan regions and faster increases in population are the main reasons. When it comes to gathering data about waste management, intelligent services can serve as the front line. Waste management with IoT support is a common example of a service offered by smart cities. Various duties, like gathering, processing, and use of waste in appropriate facilities, are included in waste management. The present study proposed an updated waste management system architecture design after reviewing existing artificial intelligence and IoT-based waste management systems and automation in smart cities. The proposed system architecture deals with the automation of municipality trash in smarter urban areas, using IoT technology and sending notification messages based on sensor data relating to the dustbin state, such as full or empty. The notifications are sent simultaneously to the municipality office and the waste carrier vehicle driver, so that waste can be emptied on time. The proposed system architecture represents a scalable and adaptable model for municipalities that aim to transform their waste collection processes and play a key step in minimizing municipality waste in smart cities. By deploying this proposed system architecture with smart sensors and IoT devices, municipalities can monitor waste levels to ensure that bins are emptied when it is necessary. This reduces the frequency of waste collection, lowers fuel consumption, and minimizes operational costs. The Route optimization algorithms further enhance efficiency by determining the most efficient paths for waste collection trucks, so they can reduce travel time and fuel emissions.

Recent Regional Development Strategies in Turkey and Smart Cities: The Case of the Southern Aegean Region (TR32)

This article critically examines how the smart cities approach has been employed as a strategic tool in Turkey's recent regional development strategies. The paper explores the efficiency of development strategies prepared for Turkey's South Aegean Region (TR32) with a focus on smart city elements. These strategic elements include transportation, smart governance, energy efficiency, and digital transformation at the sub-regional level. The sub-regional plans prepared by the South Aegean Development Agency (GEKA) serve as a distinctive example of incorporating new technology-based urban and regional practices into regional development plans in Turkey. GEKA's smart city strategies, while addressing best practices, are criticized for a predominant focus on technological solutions, neglecting crucial human elements like sustainability and social inclusion. These strategies risk widening economic and social inequalities between urban and rural areas due to high costs and increased involvement of private sector companies, leading to an uneven distribution of projects. Critics argue that GEKA's plans lack transparency and public participation, prompting a call for a renewed debate on development agency strategies in Turkey. Furthermore, through a renewed emphasis on the integration of human-centric considerations and the cultivation of participatory governance mechanisms, GEKA's smart city strategies have the potential to facilitate sustainable and equitable development within the TR32 Region.

Public Participation in Rapid Response Services for the Sustainability of Jakarta Smart City

Public participation plays an important role in the development of rapid response services to support the sustainability of Jakarta Smart City. This study aims to explore and analyse the level of public participation in utilising and developing these services, and their impact on urban sustainability. The research method used is a qualitative case study through in-depth interviews and document analysis. The results of the study indicate that the level of public participation in rapid response services in Jakarta Smart City varies greatly. Factors such as accessibility, trust, and awareness are the main determinants of the level of public participation. Citizens who actively participate tend to feel greater benefits from these services, while those who are inactive tend to experience gaps in services. Public participation also has a positive effect on service efficiency and the quality of life of city residents. However, this study also found several obstacles that hinder public participation. Low awareness of the importance of the role of individuals in developing smart cities, limited accessibility, and low digital literacy are the main challenges. To increase sustainable public participation, efforts are needed that involve education, training, and strengthening of information technology infrastructure. In conclusion, public participation has a crucial role in the sustainability of Jakarta Smart City through rapid response services. Effective management of public participation can improve service efficiency, strengthen community engagement, and support sustainable urban development. Therefore, continuous efforts are needed to improve and manage public participation for long-term success. With education, training, and improved technological infrastructure, broader and more equitable participation can be realised, supporting the growth of inclusive and sustainable smart cities in the future.

The role of telecommunications in enabling Internet of Things (IoT) connectivity and applications

This review paper explores the pivotal role of telecommunications in enabling Internet of Things (IoT) connectivity and applications, providing a comprehensive overview of the current landscape and future prospects. The primary objective is to synthesize existing research and industry insights to highlight how advancements in telecommunications infrastructure and technology have catalyzed the adoption and expansion of IoT. The review systematically examines the evolution of telecommunications technologies, including 4G, 5G, and emerging network protocols such as Narrowband IoT (NB-IoT) and Long-Term Evolution for Machines (LTE-M). It assesses how these technologies enhance IoT connectivity by providing the necessary bandwidth, low latency, and reliability for real-time data exchange and device interoperability. Key findings from the literature reveal that the deployment of 5G networks has been a game-changer for IoT, offering unprecedented speeds and connectivity capabilities that support a wide range of applications in smart cities, healthcare, agriculture, and industrial automation. Additionally, the paper discusses the role of telecommunications in addressing challenges related to security, scalability, and energy efficiency in IoT deployments. The review concludes that telecommunications are integral to the growth and sustainability of IoT ecosystems. As telecommunications technology continues to advance, its ability to support increasingly complex and ubiquitous IoT applications will drive innovation and enhance efficiency across various sectors. The paper emphasizes the necessity for ongoing investment in telecommunications infrastructure and research to fully exploit the transformative potential of IoT connectivity and applications.

Smart Cities and Human Development: Analysis Using Fuzzy Similarity Measures

Smart Cities and Human Development: Analysis Using Fuzzy Similarity Measures

Green Edge: Harnessing situational awareness for sustainable systems

Green computing and Building Management Systems (BMS)are closely related through their shared goal of improving energy efficiency and reducing environmental impact. Field controllers that connect with the sensors and actuators at the field level act as an interface between field devices and enterprise applications. Data transfer, protocol conversion, data processing, computing, and control actuators based on predefined logic are the functions of the field controllers. Fast response time is one of the crucial parameters of these field controllers hence reducing the load on these field controllers by enabling Edge computing functionality is very much required. Maharudrayya Nandimath and others [16] in their “Edge Computing in IBMS (Integrated Building Management Systems). (2024 International Conference on Computer Communication and Informatics (iccci. in)) the paper suggested many of the measures to reduce the load on these field controllers. Building Management Systems are essential for optimizing the operation of modern buildings, ensuring comfort, safety, and energy efficiency. By integrating advanced technologies such as Situation Awareness (SA) and Artificial Intelligence (AI), BMS can be significantly enhanced to provide real-time monitoring, predictive maintenance, and intelligent decision-making. This paper explores the potential of combining SA and AI with BMS, leveraging insights from recent research on industrial processes, IoT cloud-edge continuum, and smart cities. The proposed system architecture includes feedback loops and contextual awareness, aiming to improve building operations and reduce energy consumption, thereby supporting global sustainability goals.

Georecon: a coarse-to-fine visual 3D reconstruction approach for high-resolution images with neural matching priors

ABSTRACT Visual 3D reconstruction enables rebuilding 3D scenes from captured images, serving as a fundamental data source for digital earth modeling and intelligent cities. In the foundational step, recent methods leverage learning-based descriptors for image registration and achieve tremendous advances in precision and robustness. However, these methods inevitably execute down sampling towards high-resolution images to fit the needs of neural networks, which leads to precision degradation of feature localization and matching. Thus, we propose GeoRecon: a novel coarse-to-fine visual 3D reconstruction method that optimally utilizes high-resolution images for high-quality visual 3D reconstruction. Firstly, the coarse stage conducts coarse reconstruction from downsampled images by performing neural matching with geometric priors. Secondly, we define the fine-grained stage, proposing a GPU-based algorithm for generating image-patch correspondences based on the neural matching priors to perform fine-grained image registration. Finally, based on the optimized camera poses under this coarse-to-fine paradigm, progressive dense reconstruction leveraging efficient neural radiance fields is proposed to accomplish the high-quality MVS reconstruction. Comparative experiments across various scenarios demonstrate the proposed method’s superior precision, robustness, and reconstruction quality.

Comparing Virtual and Real-Life Rapid Prototyping Methods for User Testing Smart City Interfaces: A Case Study

In the development of complex embedded interactive systems, a tension arises between, on the one hand, ever shorter and highly iterative design processes, and, on the other hand, the need for user testing with early prototypes to validate systems from a user-centred design perspective. This study focuses on the integration of Virtual Reality (VR) into prototyping embedded interactive systems, examining its potential to bridge the gap between rapid prototyping and user-centered design validation. Adopting a comparative research approach, we analyze a case study: the development of a cultural smart city experience. It juxtaposes in situ, low-fidelity prototype testing with VR-based testing, evaluating their realism, interactivity, functionality, presence and task difficulty. This mixed-method research design incorporates both qualitative and quantitative methodologies, engaging 27 design students in a comparative study, conducting participatory research and 8 expert interviews. These findings reveal divergent roles in field testing and VR in the new product development process, highlighting VR’s strengths in visualizing procedures and facilitating discussion. This study identifies the limitations of VR in mimicking realistic interactions and incorporating social context yet underscores its superiority over paper prototypes in its realism and interactivity. Where field testing can hold broader contextual insights, the VR prototype gives more concrete and applied insights. The main advantage of VR testing is its visualisation of procedures and its final materialisation according to the participants interviewed. According to the experts interviewed, VR can be used as a useful tool within the development process especially for visualisation and testing user flows of complex interfaces.

Autonomous and Electric Vehicles in Urban Living Labs: Smart Mobility Strategies for the Future

The deployment of electric, connected, and autonomous vehicles on public roads presents a significant challenge that can be addressed through previously established frameworks developed globally for implementing these technologies as part of an urban living lab (ULL). This systematic review, based on records from four distinct databases, focuses on projects that have conducted deployments of self-driving technologies in streets within urban environments. The review describes relevant information about various initiatives, including a classification of the stages of development reached according to the urban area covered, safety considerations, and lessons learned for optimal deployment. On-board sensing technology, digital infrastructure, and energy and communication systems emerge as the essential components of a ULL with autonomous vehicles (AVs). A crucial goal for smart cities is ensuring the scalability of large-scale deployments of such ULLs for safe, clean, and future mobility experimentation. This can only be achieved through effective coordination among academia, government, industry, and society to guarantee the successful integration of multiple projects in a unique environment.

An investigation of past and future LULC using multilayer perceptron-Markov chain techniques: a case study of a Himalayan smart city (2005–2040)

An investigation of past and future LULC using multilayer perceptron-Markov chain techniques: a case study of a Himalayan smart city (2005–2040)

The Dynamics of the Smart City Development: From the First Wave Model to the Third Wave Model

The Dynamics of the Smart City Development: From the First Wave Model to the Third Wave Model

Challenges of Wireless Sensor Networks and their Solutions

Wireless Sensor Networks (WSNs) have emerged as a critical technology with uses in the fields of smart cities, industrial automation, healthcare, and environmental monitoring. This research paper provides a thorough review of the challenges inherent in WSNs, with the intention of providing light on the challenges that practitioners and researchers have while setting up and maintaining these networks. The challenges involve several aspects, comprising data management, security, scalability, energy efficiency, and dependability. Security concerns: given that these networks' communication is open and wireless, maintaining data integrity and secrecy presents substantial issues. Furthermore, it is essential to guarantee data transmission dependability in dynamic, frequently severe situations. This research analyzes these challenges, looks at the methods and solutions that are currently being offered in the literature, and also points out areas that need more research and development in the area of wireless sensor networks. Comprehending and resolving these obstacles is essential to realizing WSNs' complete potential and promoting their extensive integration in various fields.

Cybersecurity and defense in intelligent transportation systems

Intelligent Transportation Systems (ITS) have become increasingly crucial for enhancing transportation networks' efficiency, safety, and security. ITS includes advanced technologies such as electronic sensors, data transmission, and intelligent control technologies, providing better driver and rider services. However, these technologies pose significant security and privacy risks, in which attackers can easily disrupt transportation systems. This paper presents a survey of the challenges with ITS, the engineering requirements, attack challenges, and related work of securing ITS. This survey also discussed the elements of ITS, including advanced traffic management systems, connected and automated vehicles, intelligent infrastructure, and integrated data analytics, as well as the role of government policies, public-private partnerships, and stakeholder engagement. The aim is to look at present security challenges associated with ITS and provide better ways to the system. which is critical for creating smart cities and increasing the importance of individual and public transportation systems.