scholarly journals MPResiSDN: Multipath Resilient Routing Scheme for SDN-Enabled Smart Cities Networks

2021 ◽  
Vol 11 (4) ◽  
pp. 1900
Author(s):  
Sarah L. Aljohani ◽  
Mohammed J. F. Alenazi

The number of smart cities is increasing rapidly around the world with the continuous increase of governments’ interest in exploiting Information and Communication Technologies (ICT) to solve issues arising from rapid urbanization. Most smart city services rely fundamentally on ubiquitous sensing, enabled by Wireless Sensor Network (WSN) technologies. However, WSNs in smart cities are naturally vulnerable to unavoidable external challenges like storms, fires, and other natural disasters. Such challenges pose a great threat to smart city infrastructure, including WSNs, as they might affect network connectivity or result in complete blockages of network services. However, some particular smart city services are critical, to the point where they must remain available in all situations, especially during disasters; to monitor the disaster and obtain sensory information needed for controlling it, limiting its danger, or for decision-making during rescue operations. Thus, it is crucial to design a smart-city network to maintain connectivity against such challenges. In this paper, we introduce MPResiSDN, a MultiPath Resilient routing system based on Software Defined Networking (SDN). The system introduced exploits SDN’s capabilities and aided-multipath routing to reactively provide connectivity in smart city networks in the presence of challenges. We evaluated our proposed system under simulations of different natural disasters. The results demonstrate that the system improved data delivery under the challenges by as much as 100% compared to the Spanning Tree Protocol when a suitable value for k diverse paths was selected.

Author(s):  
Hicran Celikyak

Rapid urbanization and the advances in Information and Communication Technology have changed the definition of "city" all over the world. In the beginning, the concept emerged as Digital Cities and gradually changed to Smart Cities bringing criteria along. It is inevitable that, in future the concept will change and develop new criteria. There are many components in the smart city, with the knowledge of the idea of "information and communication technologies", which is the focus of smart cities and the cities of the future. The ability to define cities as smart is possible through the development of balanced applications around these applications. In this study, the Istanbul city will be evaluated in the context of smart city studies while it is presented with components of smart city concept.


Work ◽  
2021 ◽  
pp. 1-12
Author(s):  
Zhang Mengqi ◽  
Wang Xi ◽  
V.E. Sathishkumar ◽  
V. Sivakumar

BACKGROUND: Nowadays, the growth of smart cities is enhanced gradually, which collects a lot of information and communication technologies that are used to maximize the quality of services. Even though the intelligent city concept provides a lot of valuable services, security management is still one of the major issues due to shared threats and activities. For overcoming the above problems, smart cities’ security factors should be analyzed continuously to eliminate the unwanted activities that used to enhance the quality of the services. OBJECTIVES: To address the discussed problem, active machine learning techniques are used to predict the quality of services in the smart city manages security-related issues. In this work, a deep reinforcement learning concept is used to learn the features of smart cities; the learning concept understands the entire activities of the smart city. During this energetic city, information is gathered with the help of security robots called cobalt robots. The smart cities related to new incoming features are examined through the use of a modular neural network. RESULTS: The system successfully predicts the unwanted activity in intelligent cities by dividing the collected data into a smaller subset, which reduces the complexity and improves the overall security management process. The efficiency of the system is evaluated using experimental analysis. CONCLUSION: This exploratory study is conducted on the 200 obstacles are placed in the smart city, and the introduced DRL with MDNN approach attains maximum results on security maintains.


Author(s):  
Makeri Yakubu Ajiji ◽  
Xi’an Jiaotong Victor Chang ◽  
Targio Hashem Ibrahim Abaker ◽  
Uzorka Afam ◽  
T Cirella Giuseppe

Today the world is becoming connected. The number of devices that are connected are increasing day by day. Many studies reveal that about 50 billion devices would be connected by 2020 indicating that Internet of things have a very big role to play in the future to come Considering the perplexing engineering of Smart City conditions, it ought not to be failed to remember that their establishment lies in correspondence advancements that permit availability and information move between the components in Smart City conditions. Remote interchanges with their capacities speak to Smart City empowering advancements that give the open door for their fast and effective execution and extension as well. The gigantic weight towards the proficient city the board has triggered various Smart City activities by both government and private area businesses to put resources into Information and Communication Technologies to discover feasible answers for the assorted chances and difficulties (e.g., waste the executives). A few specialists have endeavored to characterize a lot of shrewd urban areas and afterward recognize openings and difficulties in building brilliant urban communities. This short article likewise expresses the progressing movement of the Internet of Things and its relationship to keen urban communities. Advancement in ICT and data sharing innovation are the drivers of keen city degree and scale. This quick development is changing brilliant city development with the beginning of the Internet of Things (IoT). This transformation additionally speaks to difficulties in building (Kehua, Li, and Fu ,Su et al.1). By knowing the attributes of specific advances, the experts will have the occasion to create proficient, practical, and adaptable Smart City frameworks by actualizing the most reasonable one.


2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>


Author(s):  
Özcan Sezer ◽  
Mehmet Avcı

Cities are futures' crucial elements, playing an important role in economics, social and environmental. As closer to individuals, cities face some challenges in terms of problems caused through the rapid urbanization process. Hence, governments and public agencies at all levels should use smart techniques including technology for sustainable development, better quality of life for citizens, and finally, an efficient use of scarce public resources. In this sense, Turkey plans to apply a smart city concept in Turkish cities as worldwide and published 2020-2023 National Smart Cities Strategy and Action Plan document with four strategic goals, nine targets, and 40 actions. This chapter aims to reveal the institutional, fiscal, and social challenges on smart governance, which is the most important dimension of smart city, for Turkey. In this respect, there are some challenges on smart governance in Turkey in terms of legislation, institutional, transparency and accountability, participation, e-democracy, and citizens.


Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  

The Smart City concept is being developed from a lot of different axes encompassing multiple areas of social and technical sciences. However, something that is common to all these approaches is the central role that the capacity of sharing information has. Hence, Information and Communication Technologies (ICT) are seen as key enablers for the transformation of urban regions into Smart Cities. Two of these technologies, namely Internet of Things and Big Data, have a predominant position among them. The capacity to “sense the city” and access all this information and provide added-value services based on knowledge derived from it are critical to achieving the Smart City vision. This paper reports on the specification and implementation of a software platform enabling the management and exposure of the large amount of information that is continuously generated by the IoT deployment in the city of Santander.


2020 ◽  
Vol 12 (6) ◽  
pp. 2291
Author(s):  
Yuhui Guo ◽  
Zhiwei Tang ◽  
Jie Guo

More countries and regions are joining the bandwagon of smart city construction, which is an important strategy and innovative urban governance concept to solve the problem of rapid urbanization. This paper examines whether smart city innovation is able to ameliorate the traffic congestion faced by a large number of cities. Using panel data for 187 prefecture-level cities in China from 2008 to 2017, this paper tests the effect of implementation of a smart city on urban traffic congestion with the difference-in-difference method. The results show that, firstly, the construction of smart cities have significantly reduced the degree of urban traffic congestion and improved the quality and capacity of public transport. Secondly, information technology and urban innovation are the main mechanisms for smart city implementation to improve urban traffic problems. Thirdly, the improvement effect of smart city implementation on traffic management shows an increasing marginal effect over time. By overcoming the estimation bias in previous studies, this study accurately analyzes the positive role and dynamic effect of smart city construction on traffic improvement. It augments the literature of program evaluation and assessment of smart city implementation. By examining how to improve traffic congestion, it offers some insights that could inspire governments to build smarter cities with better traffic.


2020 ◽  
Vol 12 (5) ◽  
pp. 2136 ◽  
Author(s):  
Patrycja Szarek-Iwaniuk ◽  
Adam Senetra

A smart city is one of the latest concepts in the development of modern cities. It has evolved from the foregoing smart cities 1.0 and 2.0 to the smart city 3.0, where members of the local community play the main role as not only the recipients of the introduced changes and modern technology, but also as the creators of urban space. One of the goals of a smart city 3.0 is to promote sustainable urban development by improving the quality of life, enhancing social participation, and involving local community members in planning and decision-making processes. This study set out to determine the role and significance of e-participation methods in the smart city concept. The results of questionnaires exploring the importance of e-participation in urban development are presented. The paper also discusses changes in the availability of information and communication technologies (ICT) in Poland. The secondary goal was to present the geo-questionnaire and Public Participation GIS (PPGIS) as modern research tools. Internet tools based on geoinformation systems have considerable potential for mobilizing social participation in spatial planning (Public Participation GIS). The present study postulates the need for modern social participation methods in shaping urban space and promoting the sustainable development of cities. The study highlights the main challenges in the research process. The cooperation between the authorities and the citizens contributes to the development of a civil society, informed decision-making, social involvement in public life, and more effective governance at the local, regional, and national level. Measures that foster cooperation between the authorities and local communities, the use of information and communication technologies (ICT), and growing social awareness and social participation in managing development are the components of a modern smart city and the building blocks of an e-society. The study also revealed positive changes in access to ICT and their contribution to bridging the digital divide in Poland. Higher levels of social awareness regarding participation and e-participation promote the growth of smart cities.


Author(s):  
Veronica Scuotto ◽  
Alberto Ferraris ◽  
Stefano Bresciani

Purpose An empirical testing on IBM Smart Cities projects was applied so as to demonstrate that the combination between the use of IoT and the implementation of the Open Innovation (OI) model within smart cities which has been changed the development of urban areas and effected firms’ innovativeness. Design/methodology/approach A case study methodology on a leading multinational firms deeply involved in smart cities projects has been chosen. Findings From this study it emerged how IBM: a) has a clear vision of Smart Cities and IoT; b) adopt a worldwide OI approach to Smart Cities; c) delineate specific strategies and create Open Innovation Units ad hoc for Smart Cities' Projects. Research limitations/implications The major limitation of this work is that the analysis presented has been developed only on one case of multinational firm that operate in Smart Cities contexts. Practical implications Recommendations will be made both to public and private actor in order to plan and implement efficient strategies to improve their performances. Originality/value The concept of smart city has become quite popular between scholars and practitioners in the era of digital economy. Cities become smart developing new urban area using new Information and Communication Technologies (ICTs) such as mobile devices, the semantic web, cloud computing, and the internet of things (IoT). Smart cities make innovation ecosystem, joining together different forces like knowledge–intensive activities, institutions for cooperation and learning, and web–based applications collective intelligence. This research is of importance and significance to scholars, government, and firms who need to understand the relevance of smart cities in the current economy.


Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 7000
Author(s):  
Seungmyeong Jeong ◽  
Seongyun Kim ◽  
Jaeho Kim

Like what happened to the Internet of Things (IoT), smart cities have become abundant in our lives as well. One of the smart city definitions commonly used is that smart cities solve city problems to enhance citizens’ life quality and make cities sustainable. From the perspective of information and communication technologies (ICT), we think this can be done by collecting and analyzing data to generate insights. The City Data Hub, which is a standard-based city data platform that has been developed, and a couple of problem-solving examples have been demonstrated. The key elements for smart city platforms have been chosen and they have been included in the core architecture principles and implemented as a platform. It has been proven that standard application programming interfaces (APIs) and common data models with data marketplaces, which are the keys, increase interoperability and guarantee ecosystem extensibility.


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