An Efficient Data Scheduling Scheme for Cloud- Based Big Data Framework for Smart City

With continuous increase in urban population, the need to plan and implement smart cities based solutions for better urban governance is becoming more evident. These solutions are driven, on the one hand, by innovations in ICT and, on the other hand, to increase the capability and capacity of cities to mitigate environmental, social inclusion, economic growth and sustainable development challenges. In this respect, citizens' science or public participation provides a key input for informed and intelligent planning decision and policy making. However, the challenge here is to facilitate public in acquiring the right contextual information in order to be more productive, innovative and be able to make appropriate decisions which impact on their well being, in particular, and economic and environmental sustainability in general. Such a challenge requires contemporary ICT solutions, such as using Cloud computing, capable of storing and processing significant amount of data and produce intelligent contextual information. However, processing and visualising contextual information in a Cloud environment is not straightforward due to user profiling and contextual segregation of data that could be used in different applications of a smart city. In this regard, we present a Cloud-based architecture for context-aware citizen services for smart cities and walkthrough it using a hypothetical case study.

Analysis and assessment of a knowledge based smart city architecture providing service APIs

The Smart and Sustainable City Framework (SSCF) redefines the idea of ‘Smart City’ to having “Smart Thinking, Planning and Design” as fundamental for smart and sustainable city development. The framework focuses on the core values of “Smart People, Smart Place, and Smart Planet” that helps shape the city through innovative solutions with technology embedded as an enabler to create a more liveable, walkable, resilient and happy cities for all. Six elements of the Smart and Sustainable City Framework are discussed, which consists of “Smart Living”, “Smart Environment”, “Smart Mobility”, “Smart Infrastructure”, “Smart Governance”, and Smart Economy”. Smart Cultural Precinct (SCP) with the Cultural Triangle at its core in Central, Hong Kong will be used as a case study to demonstrate the use of the SSCF, together with recommendations for Hong Kong and suggestions for the broader application of the SSCF to help shape better cities.

We are delighted to welcome you to the 2014 ACM MM Workshop on Emerging Multimedia Applications and Services for Smart Cities -- EMASC'14. This is the first workshop we organize on the emerging concept of smart cities. We aim this workshop to be a premier forum to report on the state-of-the-art techniques, methodologies, multimedia applications, and services relevant to smart city. The mission of the workshop is to address the many challenges that arise from the proliferation of multimedia, sensors, pervasive devices, and integrated infrastructure for realizing smart city. Addressing these challenges would contribute to improve the quality of life of smart city citizens in many aspects including public safety, healthcare, transportation, or energy. Our call for papers attracted many submissions from Taiwan, Finland, Italy, Qatar, United States, Canada, Iran, Malaysia, Saudi Arabia, and Australia. The program committee reviewed 17 full length technical papers and accepted 6 of them, having an acceptance ratio of 35%. We also invited two keynote speakers who are actively involved in IBM smart cities movement. We therefore encourage all attendees to attend the keynote presentations. These presentations will provide us valuable insights about the current status and future trends of smart cities movement in both the industry and the academia. The two keynote speeches are: Human Surrogates: Remote Presence for Collaboration and Education in Smart Cities by Charles Hughes, PhD (Professor, Computer Science, University of Central Florida, USA)Industrial and Business Systems for Smart Cities by Ben Amaba, PhD (PE, CPIM®, LEED® AP BD+C, IBM Corporation Worldwide Executive, Miami, Florida USA)

Introduction. With the increase in urban population and the growth of citizens’ expectations, the development of smart cities – with the support and integration of digital technologies – should become one of the greatest achievements of humanity in the 21st century.Cities on our planet, from small regional communities to global mega-hubs, from the most ancient cities to the modern ones, focus on developing and implementing smart city initiatives to make them more efficient, sustainable, attractive to citizens and stimulate economic growth.Methods. Comparative and critical analysis was used to identify patterns of smart city generations formation and to find the problems of their functioning in different corners of our planet. Additionally, the mentioned methods and the method of modeling helped us to highlight the components of the concept presented through the drawing and enabled the visual presentation of its generations’ characteristics in the table.Results. The essence of the concept of “smart city”, its theoretical and applied aspects are considered. The main characteristics of the smart cities generations are defined as an innovative model for managing the socio-economic development of large cities. The most successful projects of smart city іmplementation in the world in such cities as Santander, Songdo, Masdar, Rio de Janeiro and Singapore are analyzed. It is proved that smart city is a modern model of urban transformation with the use of information and communication technologies for solving the most complex problems and development of innovations, active involvement of the citizens in the transformation process. It is a place where conditions for the development of the community and every person are created as a key driving force in fostering economic and social growth in which information technologies allow to change qualitatively the management system.Discussion. The prospects for further development of the study are to explore the experience of implementing Generation 3.0 in the top world smart cities and ways of its introduction in Ukraine, as this is the key to the economic uplift and social progress of the world.

Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions

The purpose of this paper is to indicate the possibility of applying cognitive technologies in smart city services and analyze their impact on strategic management in the city. The subject of this study is the use of cognitive technologies in big data as one of the tools of smart city. The study also identifies the risks that may occur when using modern technologies at the local level. At the same time, it refers to features that can provide a form of safeguards for an individual’s rights and freedoms. This article also covers legal issues that affect the use of cognitive technologies in local government units. This paper indicates that the challenge that local governments should now meet is to build a Smart Sustainable City. Implementation of modern solutions should strive to improve the lives of all residents and thus prevent the exclusion of social groups or individuals.

Competitiveness, distinctiveness and singularity in urban design: A systematic review and framework for smart cities

Smart connected LED streetlights are emerging as an important infrastructure that can support basic lighting control services as well as a wide range of current and future smart city applications and services. Each smart streetlight is turned into multi-sensor-equipped smart node, a sensor `hub' node, capable of capturing and transmitting/receiving real-time data (digitally controllable nodes). A smart LED has sensors embedded into and connectivity to the cloud. This paper assesses the feasibility and quantifies the performance of commercial point-to point (P2P) 4G LTE cellular networks when used to provide robust connectivity between a massive number of smart streetlight hub nodes and the cloud. Each smart streetlight hub node is assumed to be running simultaneously few basic lighting control services as well as smart city services and applications, including mission-critical with strict latency and reliability requirements, with particular emphasis on HD IP video surveillance cameras.

In modern times, the world is heading toward smart city advancement to overcome the present and future challenges of urban crowding. Millions of smart devices communicate with each other to provide more innovative services ranging from smart health to smart homes. Smart city services endeavor urban socioeconomic development with the most significant opportunities to improve the quality and ease of life. One of the promising key enablers and drivers in the smart city is the Long Range Wide Area Network (LoRaWAN). Inevitably, this imperative promotes smart cities for urban socioeconomic and the caliber of life enrichment. Security and privacy threats must be considered when the aforementioned Low-Power Wide Area Networking (LPWAN) technology is deployed in smart cities. Considering smart cities, security and privacy threats are prominent issues that may hamper the adoption and growth of smart city services. The existing literature discussed the possible threats in various smart city services and did not focus on LPWAN layer-wise vulnerabilities and threats exploration. To fill this gap, this research work narrowed down and presented the layer-wise vulnerability and threats exploration of smart homes using LoRaWAN-based use case deployment. We further elucidated the importance of federated learning, enabling reliable management of smart home services.

Chapter 16 - Exploring cyber attacks in blockchain technology enabled green smart city

Urban resilience and smart city frameworks are increasingly critical in addressing the challenges posed by rapid urbanization, climate change, and socio-economic disparities. This study utilizes a systematic bibliometric analysis to uncover trends, thematic clusters, and influential contributors in the field, with a specific focus on Indian cities. Drawing from 2,784 publications indexed in Dimensions, the analysis employs advanced tools such as VOSviewer and Bibliometrix to map publication trends, citation networks, and keyword co-occurrences. The findings reveal significant growth in research output over the past decade, with a 60% increase in annual publications from 2015 to 2023. Notably, contributions from Indian researchers have risen by 45%, reflecting growing domestic interest in urban resilience and smart city development. Key thematic clusters include sustainable urban development, technological innovation, and climate adaptation strategies. Despite these advancements, the analysis identifies gaps in the integration of resilience metrics and inclusive governance models tailored to the Indian context. The study concludes by proposing targeted research directions to enhance the applicability and impact of urban resilience and smart city frameworks in India.

Background: Small businesses are an important part of the South African economy, yet they have high rates of failure. Several contributing factors have previously been identified through literature, including regulatory compliance, skills shortages and lack of government support. Globally, there has been an increased interest in smart cities and the variety of services they offer. These technologies were investigated to establish what role, if any, they could play in alleviating the challenges that small businesses face.Aim: Identify the relative impact of each of these challenges on the small-business and the relative value of each of the smart city services in order to determine which services would have the largest impact in addressing the challenges.Method: This research used these factors and identified which challenges had the largest time and financial impact on small businesses and investigated ways in which a variety of smart city services could be leveraged to address these challenges. Using a multi-criteria decision analysis technique, 44 small-business owners participated in the research. Weighted results for the impact of each of the challenges and the value of each of the services were obtained.Results: Through the subsequent analysis of the results, it was found that small businesses face many challenges because of lack of government and entrepreneurial support, as well as widespread corruption. Similarly, the small-business owners identified that educational material, small-business support portals and eGovernment systems would be the most valuable services that a smart city could offer them. Various sources of literature were used to identify these smart city services and link them to the business challenges that they may be able to mitigate. The infrastructural prerequisites for each of the services were also investigated to identify dependencies and potential problems in their deployment.Conclusion: The various aspects of this study were integrated, and a smart city roadmap for small-business support was subsequently developed. This roadmap will assist cities in planning their smart city deployment, so that they may better support small businesses in the role that they play in the country’s economy.

Analysing the impact of smart city service quality on citizen engagement in a public emergency

With the rapid development of information technology and the advancement of smart city construction, urban management and services increasingly rely on networked intelligent systems. However, this highly interconnected network environment has also brought numerous network security challenges to smart cities. Smart cities involve a large number of Internet of Things (IoT) devices, big data platforms, cloud computing technologies, and smart infrastructure, making network security problems more complex and severe. This paper analyzes the composition and development trends of smart cities, explores the main security risks currently faced, and focuses on the security risks in key areas such as the Internet of Things, cloud computing, big data, and intelligent transportation systems. Furthermore, this paper proposes a multi-layered protection system and strategies for smart city network security, aiming to improve the network security assurance level of smart cities. The research seeks to provide practical protection measures to help smart cities cope with the growing security threats and ensure their sustainable development.