Mitigating and Monitoring Smart City using Internet of Things

Jha, Sudan; Nkenyereye, Lewis; Joshi, Gyanendra Prasad; Yang, Eunmok

doi:10.32604/cmc.2020.011754

Cited by 37 publications

(18 citation statements)

References 25 publications

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“…Smart environmental monitoring includes measurement of noise, pollution, temperature, weather, regulation of limited resources (e.g., water), using radar systems, fire detection, waste management, solar energy, LCD/LED (liquid crystal display/light-emitting diode) screens or early warning systems [40]. The basic element of smart monitoring are sensors that collect data in the field; afterwards, these are transferred to analytical centers and comprehensively explored.…”

Section: Technologies Used In Monitoring Limited Resourcesmentioning

confidence: 99%

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Advanced Technologies and Their Use in Smart City Management

2021

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Building Smart City management concepts is based on the implementation and use of advanced technologies. The primary impulse for writing the article was the ambition to identify the current advanced technologies of Smart City management. The aim of the article is to propose a general model for the implementation of advanced technologies for Smart City management, based on the knowledge gained from the analysis of literature and case studies. In order to fulfill the set goal, it is necessary to obtain answers to two research questions. The findings were obtained through a secondary analysis of the literature, i.e., relevant articles from the scientific databases Web of Science and Scopus analysis of case studies of the best Smart Cities practices. According to the Smart City Index 2020 and IESE Cities in Motion, the leaders among the Smart Cities are Singapore and London, followed by Helsinki. In addition to the analyses, the article also uses methods of summarization, comparison, creativity, logic, induction and deduction. Smart Cities use 12 identified advanced technologies in their practice. Strategic management in Singapore, London and Helsinki adapts technology to the needs and requirements of its citizens, thus connecting the technological aspect with the managerial and social aspects. The contributions of the work include results for fellow researchers and a model for strategic management of new Smart Cities. The results of the article provide fellow researchers with the findings of a secondary analysis of relevant articles, from which they can draw when writing their own publications without the need for time-consuming search of the articles about this topic in databases. The general model of implementation of advanced technologies serves as a basis for strategic management of new Smart Cities that want to implement a technological base and at the same time do not want to forget the managerial and social aspects. Testing the model in practice with a new Slovak Smart City is part of future research activities.

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Section: Technologies Used In Monitoring Limited Resourcesmentioning

confidence: 99%

“…If the values are exceeded, corrective action is taken. The main advantage is prediction through early warning systems [40].…”

Section: Technologies Used In Monitoring Limited Resourcesmentioning

confidence: 99%

Advanced Technologies and Their Use in Smart City Management

2021

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“…It encompasses almost all areas [2] of current Information Technology such as smart cities, computer systems, connected vehicles, etc. And exploits other advanced technologies [3,4] such as Cloud Computing, Big Data, or even the blockchains. By definition, an object (Device) is a physical or virtual machine, which must be: (1) intelligent, therefore she must have a certain capacity for calculation and memorization.…”

Section: Introductionmentioning

confidence: 99%

“…(2) autonomous, that is say that she can do treatments and sometimes even make decisions without a human intervention. (3) which can be connected with any other object of a flexible and transparent way. Wireless sensor networks (WSNs) are a cornerstone of the success of the IoT.…”

Section: Introductionmentioning

confidence: 99%

AuthenIoT: A Lightweight Authentication Protocol for the Internet of Things Based Wireless Sensor Networks

Hayouni¹

2022

EAI Endorsed Transactions on Cloud Systems

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The Internet of Things is a major development in information technology that increasingly dominates and reigns in the computer systems market. However, due to the threat of cyber attacks, the security of IoT is still one of the major issues holding back the evolution of this technology. For this, the authentication of objects is very important in IoT. In this paper, we propose a lightweight authentication protocol for the IoT Based Wireless Sensor Networks, called AuthenIoT. The objective is to provide mutual authentication services for connected objects. This protocol must take into account the constraints of the objects and the used communication technologies. To achieve such protocol, we opted for WSNs as an IoT use case. Furthermore, we demonstrate that the proposed scheme provides an efficient security for connected devices and that its computation and communication costs are suitable for extremely low-cost IoT devices.

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“…Due to the large population of SSHC, the human proximity narrowed down the social distancing measures. Moreover, SSHC also faced the problem of micro-mobility spaces [ [6] , [7] , [8] ]; in order to reduce the infection rate and to keep up with the sustainability demand, smart cities need to provide more spaces for walking and diminish the public transportation usage.…”

Section: Introductionmentioning

confidence: 99%

SNS Big Data Analysis Framework for COVID-19 Outbreak Prediction in Smart Healthy City

Azzaoui

Singh

Park

2021

Sustainable Cities and Society

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Nowadays, the world is experiencing a pandemic crisis due to the spread of COVID-19, a novel coronavirus disease. The contamination rate and death cases are expeditiously increasing. Simultaneously, people are no longer relying on traditional news channels to enlighten themselves about the epidemic situation. Alternately, smart cities citizens are relying more on Social Network Service (SNS) to follow the latest news and information regarding the outbreak, share their opinions, and express their feelings and symptoms. In this paper, we propose an SNS Big Data Analysis Framework for COVID-19 Outbreak Prediction in Smart Sustainable Healthy City, where Twitter platform is adopted. Over 1000 Tweets were collected during two months, 38% of users aged between 18 and 29, while 26% are between 30 and 49 years old. 56% of them are males and 44% are females. The geospatial location is USA, and the used language is English. Natural Language Processing (NLP) is deployed to filter the tweets. Results demonstrated an outbreak cluster predicted seven days earlier than the confirmed cases with an indicator of 0.989. Analyzing data from SNS platforms enabled predicting future outbreaks several days earlier, and scientifically reduce the infection rate in a smart sustainable healthy city environment.

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Mitigating and Monitoring Smart City using Internet of Things

Cited by 37 publications

References 25 publications

Advanced Technologies and Their Use in Smart City Management

Advanced Technologies and Their Use in Smart City Management

AuthenIoT: A Lightweight Authentication Protocol for the Internet of Things Based Wireless Sensor Networks

SNS Big Data Analysis Framework for COVID-19 Outbreak Prediction in Smart Healthy City

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