Smart City (SC) is an upcoming concept incorporating ‘Digitalized Associated City’ and city organization with the help of Information and Communication Technology (ICT). This novel concept offers ...in-depth knowledge by enhancing the nuances of the networking business and acts as a bridge between the Government, corporate, and the general public. When it comes to Cybersecurity deals with the confidentiality of the information and the vulnerabilities they come with SC systems. In our research paper, we investigate the security concerns of the SC infrastructure development and also taking into account the views of both technological and business operations. We also put forth a Hybrid Smart City Cyber Security Architecture (HSCCA) method. This method analyzes the threats besides developing safe data. We make sure to consider the important factors like valuable data collection, memory storage, recovery, and well-organized network source supply high-level HSCCA for setting up a smart city. The HSCCA setup recommended by us follows a layered presentation of storing data and explains about various participants that covey and also ensures service delivery to the end-users. Our suggested method also investigates Cyber Security (CS) instituted for smart cities. Besides, we also highlight the specific features of SC generated challenges regarding cybersecurity, along with the reviewing of various aspects of risks associated with it. Eventually, our research concludes with the evaluation of certain significant cybersecurity solutions for smart cities proposed for HSCCA. This paper recommends a context-specific safety setup for conventional cyber–physical systems and put forth a few prospective areas for exploring and their impact.
•A region-based framework to manage key issues of cyber–physical systems in smart city data network.•To explore the range of factors affecting cybersecurity in smart cities.•Interconnection of devices introduce technologies that connect cyber–physical systems.•Integration of disparate city services and enabling infrastructure to cyber–physical systems.•Demonstrate the specific distinctiveness of smart city for cybersecurity challenges.
Smart City is a city that implements the latest technologies, such as big data, IoT, Artificial Intelligence, and other new technologies. Smart City has different system characteristics than other ...systems. Smart City involves several independent stakeholders, so the development of a smart city needs to be designed with a system analysis system and service-based planning. Smart City Architecture Development Methodology (SCADM) has been defined from the previous research. However, the existing Enterprise Architecture approach has yet to specify the artefact to complete the framework. This study recommends the Smart City Architecture Framework (SCADEF) as a comprehensive Enterprise Architecture Framework to develop Smart City Architecture. The architecture framework produced by SCADEF becomes the proposed architecture framework for realizing Smart City. SCADEF consists of SCADM, Meta-model Smart City Architecture Development Methodology Artefact, and guidelines by the implementation SCADEF. The research uses observation, classification, and construction methodologies in Information System Design Methodology. In addition, this study also tested the framework by implementing it on city objects. This implementation is a practical test tool for the resulting enterprise architecture framework. This study implemented SCADEF in the education and health field at Bandung Smart City. Implementing testing on the implementation of SCADEF is to explain the implementation in Bandung Smart City and ask for an assessment from enterprise architecture experts. The results of the expert assessments were calculated statistically to assess the methodology, artefacts, and uses. The measurement results show that SCADEF can be accepted and used to develop enterprise smart city architecture.
•“Internet of Things based Smart City Design using Fog Computing and Fuzzy Logic”.•An edge computing paradigm using human interactions for their decision-making process.•Employs probabilistic ...history-based parameters that keep track of node interactions.•Context-aware smart paradigm considering predictability ratios.•A nature-inspired algorithm used to make the routing considerations.•A fuzzy rule-based system using power-buffer capacity-based index to make classes.
The prevalence of IoT based technology in contemporary society allows for the planning of smart city infrastructure with individually owned devices as participating nodes in a social smart network. Edge computing application into such an IoT network facilitates the distributed computing framework by bringing the computational application closer to the end-users in form of Fog sub-networks, comprising the local participating end-user IoT nodes as service requesters and specialized servers catering to the requests, modelled for the infrastructure category they are delivering (Smart healthcare, ITS, Smart architecture, etc.). Opportunistic-based last-mile connectivity between the Fog servers and participating nodes aides the dynamicity of the topology for efficient information. Aiding the same, the proposed edge computing enabled, sustainable, opportunistic IoT-based intuitive data exchange, collection and operation scheme that employs a dynamic routing procedure that considers human interactions, their movement patterns and their decision-making process. The proposed scheme employs probabilistic history-based parameters that keep track of node interactions. The interactions are modelled on the Firefly PSO, allowing exploitation of the social mobility. The Fuzzy logic is used for hop decision making based on the social and attribute-based parameters which mimic intuitive and pragmatic decision making of humans in terms of social interactions and mobility.
In recent decades, a large amount of research has been carried out to analyze location-based social network data to highlight their application. These location-based social network datasets can be ...used to propose models and techniques that can analyze and reproduce the spatiotemporal structures and symmetries in user activities as well as density estimations. In the current study, different density estimation techniques are utilized to analyze the check-in frequency of users in more detail from location-based social network dataset acquired from Sina-Weibo, also referred as Weibo, over a specific period in 10 different districts of Shanghai, China. The aim of this study is to analyze the density of users in Shanghai city from geolocation data of Weibo as well as to compare their density through univariate and bivariate density estimation techniques; i.e., point density and kernel density estimation (KDE) respectively. The main findings of the study include the following: (i) characteristics of users’ spatial behavior, the center of activity based on their check-ins, (ii) the feasibility of check-in data to explain the relationship between users and social media, and (iii) the presentation of evident results for regulatory or managing authorities for urban planning. The current study shows that the point density and kernel density estimation. KDE methods provide useful insights for modeling spatial patterns using geo-spatial dataset. Finally, we can conclude that, by utilizing the KDE technique, we can examine the check-in behavior in more detail for an individual as well as broader patterns in the population as a whole for the development of smart city. The purpose of this article is to figure out the denser places so that the authorities can divide the mobility of people from the same routes or at least they can control the situation from any further inconvenience.
•A framework to support monitoring procedures in Smart Cities is defined.•Several services are identified according to the layers architecture.•A short-term load forecasting in non-residential ...buildings use case is provided.•The short-term load forecasting method is based on an AR model.•The work is based on a real data of the University of Girona.
The paper describes an ongoing work to embed several services in a Smart City architecture with the aim of achieving a sustainable city. In particular, the main goal is to identify services required in such framework to define the requirements and features of a reference architecture to support the data-driven methods for energy efficiency monitoring or load prediction. With this object in mind, a use case of short-term load forecasting in non-residential buildings in the University of Girona is provided, in order to practically explain the services embedded in the described general layers architecture. In the work, classic data-driven models for load forecasting in buildings are used as an example.
Internet of things (IoT) is one of the modern technologies, developing existing cellular communication networks to the emerging fifth-generation technology. The traffic modelling of IoT applications ...is different from the recommended traffic modelling of a Human-type communication. Numerous unstructured data arise from rapid growth of IoT heterogeneous networks and services. One of challenges occurs by diverse IoT unstructured data is a variety of IoT data characteristics, which increase traffic modelling influences. The study of IoT characteristics has a crucial role in modelling data bursts of IoT use cases. This study proposes an enhanced ON/OFF traffic modelling technique to model IoT data characteristics of diverse applications, especially the IoT smart city. A novel modelling technique categorises and analyses characteristics of IoT smart city use case into five major traffic patterns. In this study, realistic smart home networks were built as a part of IoT smart city in an experimental model. Massive traffic profiles are generated from a pilot according to a proposed IoT smart city architecture model. Various traffic profiles of a pilot are modelled into theoretical models by Easy-Fit tool. Traffic modelling concept of a novel technique and their five traffic patterns are proven in the pilot results.
Smart city initiatives aim to enhance urban domains such as healthcare, transportation, energy, education, environment, and logistics by leveraging advanced information and communication ...technologies, particularly the Internet of Things (IoT). While IoT integration offers significant benefits, it also introduces unique challenges. This paper provides a comprehensive review of IoT-based management in smart cities. It includes a discussion of a generalized architecture for IoT in smart cities, evaluates various metrics to assess the success of smart city projects, explores standards pertinent to these initiatives, and delves into the challenges encountered in implementing smart cities. Furthermore, the paper examines real-world applications of IoT in urban management, highlighting their advantages, practical impacts, and associated challenges. The research methodology involves addressing six key questions to explore IoT architecture, impacts on efficiency and sustainability, insights from global examples, critical standards, success metrics, and major deployment challenges. These findings offer valuable guidance for practitioners and policymakers in developing effective and sustainable smart city initiatives. The study significantly contributes to academia by enhancing knowledge, offering practical insights, and highlighting the importance of interdisciplinary research for urban innovation and sustainability, guiding future initiatives towards more effective smart city solutions.
Nowadays the popular Smart city concept focuses on the quality improvement of a citizen’s life by using the information and communication technology. Frequently Smart city projects are stalled at ...the initial stages due to insufficient data volume. Meanwhile, state Postal services remain outside the Smart cities concepts and models, despite the available resources to handle big data. This research is aimed to highlight the significance of Postal services involvement in effective data collection, storage and aggregation. The study refers to the international sources and considers a high-level Smart city architecture and data-driven approach; gives an analysis of researches results and case studies of international Postal services in the field of socially significant initiatives; describes the functions and assets of the Russian Post. The paper presents identified opportunities of Postal services participation in the processes of Smart city projects, describes an applicability of the approach to the Russian realities. It also provides the models of Postal services involvement in Smart city projects and meta-model of the data which collection is possible using the Russian Post assets. The main idea is to integrate urban information systems and the Postal services assets for more efficient and ubiquitous data collection, which entails additional quality in public services. The integration will improve the city authorities results, ensure the safety of information resources, i.e. will help all participants to achieve their goals. Such approaches are named Internet of Postal Things. The relevance of the work is further conditioned by increased government activity in Smart cities development in Russia, which is caused by “Russian Digital Economy†document release, where the Smart city direction is allocated. In accordance with the document city authorities, scientific and business communities started the mega-project “Smart city St. Petersburg†where the described research results will be used.
Smart City Management based on IoT Florin NEMÈšANU; Florina PÃŽNZARU
Smart Cities and Regional Development Journal,
10/2017, Letnik:
1, Številka:
1
Journal Article
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The smart city concept is now a target for the development of urban areas. The urban challenges (pollution, overpopulation, resources etc.) are pressuring on urban governance and the municipalities ...have to find solutions for all these issues as well as a new way to develop the city. Technological progress in ICT as well as the facile access to these technologies could be a good reason to open the city for the smart city approach. Internet of things could be a technological solution in terms of finding the optimum way in making the decision on urban life. A smart city management based on IoT could solve the problem of collecting information from the urban area, processing information and making the right/optimum decision for city management.
Nowadays the smart city concepts focus on the quality improvement of a citizen’s life by using the ICT. Meanwhile, the consideration of possible participants of smart city projects and the assessment ...of their potential remain outside the scientific discourse. The state Postal services are outside the Smart cities concepts and models, despite the available resources to handle big data. This research is aimed to highlight the significance of postal services involvement in effective data collection, storage and aggregation. The study refers to the international sources and considers a data-driven approach and a high-level smart city architecture, proposes architectural principles for its construction; substantiates the possibility and importance of the participation of postal services in the effective collection, storage and aggregation of urban data; describes the functions and assets of the Russian Post. Digital technologies used for the development of the urban environment have also been adopted by the postal services. The technology of the Internet of Things (IPT), implemented by the world's postal services, has called the Internet-of-Postal-Things (IoPT). City administrations build relationships with key businesses and state-owned companies that can provide the information the city needs, but such interactions are not sufficiently developed. The authors present the results of an online survey of the Russian citizens in order to justify the relevance of the research. The survey reveals the respondents' attitude to the use of the digital technologies, IoPT in the city initiatives, assessment of the potential of the Russian Post in implementing the smart city projects.