The construction of smart city information system based on the Internet of Things and cloud computing

Jiang, Dingfu

doi:10.1016/j.comcom.2019.10.035

Cited by 151 publications

(63 citation statements)

References 18 publications

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“…The designing and management of smart cities should then consider the maximisation of the number and types of data sources, which obviously will demand a robust networking structure and massive data storage [37]. Therefore, the construction of such cyberspace should be one of the main goals for the development of cities in the next decades.…”

Section: Monitoring and Detecting Outbreaksmentioning

confidence: 99%

COVID‐19 pandemic: a review of smart cities initiatives to face new outbreaks

Costa

Peixoto

2020

IET Smart Cities

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While the world still struggles against the devastating effects of the COVID-19 pandemic, governments and organisations are discussing how new technologies can be exploited to relieve its impacts and how future pandemics can be avoided or minimised. Among the envisioned solutions, the development of more efficient and widespread smart city initiatives can improve the way critical data is retrieved, processed, stored, and disseminated, potentially improving the detection and mitigation of outbreaks while reducing the execution time when taking critical actions. In fact, some first responses to this pandemic are exploiting different technological solutions that could be ultimately adopted in more integrated city-scale systems, opening many possibilities. Therefore, this study discusses potential solutions and review recent approaches that can be exploited in this complex scenario, describing feasible and promising development trends for the construction of the new expected health-centric smart cities.

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Section: Monitoring and Detecting Outbreaksmentioning

confidence: 99%

COVID‐19 pandemic: a review of smart cities initiatives to face new outbreaks

Costa

Peixoto

2020

IET Smart Cities

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“…Cities with concentrated IoT and sensor networks may provide unreliable communications due to incorrect data transmission. Specifically, the incorrect transmission of urban data does not only require time, but also retransmits the information flow, which negatively affects the quality of the data [168]. As a result, the quality of data and the technologies to overcome problems of inconsistency, partiality, and unreliability should be considered in the development and implementation of sensor city projects [169,170].…”

Section: Discussionmentioning

confidence: 99%

Understanding Sensor Cities: Insights from Technology Giant Company Driven Smart Urbanism Practices

D’Amico

L’Abbate

Liao

et al. 2020

Sensors

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The data-driven approach to sustainable urban development is becoming increasingly popular among the cities across the world. This is due to cities’ attention in supporting smart and sustainable urbanism practices. In an era of digitalization of urban services and processes, which is upon us, platform urbanism is becoming a fundamental tool to support smart urban governance, and helping in the formation of a new version of cities—i.e., City 4.0. This new version utilizes urban dashboards and platforms in its operations and management tasks of its complex urban metabolism. These intelligent systems help in maintaining the robustness of our cities, integrating various sensors (e.g., internet-of-things) and big data analysis technologies (e.g., artificial intelligence) with the aim of optimizing urban infrastructures and services (e.g., water, waste, energy), and turning the urban system into a smart one. The study generates insights from the sensor city best practices by placing some of renowned projects, implemented by Huawei, Cisco, Google, Ericsson, Microsoft, and Alibaba, under the microscope. The investigation findings reveal that the sensor city approach: (a) Has the potential to increase the smartness and sustainability level of cities; (b) Manages to engage citizens and companies in the process of planning, monitoring and analyzing urban processes; (c) Raises awareness on the local environmental, social and economic issues, and; (d) Provides a novel city blueprint for urban administrators, managers and planners. Nonetheless, the use of advanced technologies—e.g., real-time monitoring stations, cloud computing, surveillance cameras—poses a multitude of challenges related to: (a) Quality of the data used; (b) Level of protection of traditional and cybernetic urban security; (c) Necessary integration between the various urban infrastructure, and; (d) Ability to transform feedback from stakeholders into innovative urban policies.

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“…Diverse approaches have been practiced in order to provide solutions for different situations of the IIoT. Jiang [37] offered a method which initially studies the developments of IoT, technologies associated with smart cities and cloud computing and then emphasized on technology of IoT and cloud computing. Urquhart and Mcauley [38] offered a method for risks lying for IIoT drawn both on the perspectives of technical and regulatory.…”

Section: Analysis Of the Dss For Iiot Based On Popular Librariesmentioning

confidence: 99%

A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation

Qinxia

Nazir

Gao

et al. 2021

Scientific Programming

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The large scale increase of communication and number of devices in the Industrial Internet of Things (IIoT) has rapidly enabled practitioners to make decisions based on multicriteria. Multicriteria decision support systems (MCDSSs) play an important role in decision-making for a particular situation based on several criteria. Making of decision based on multicriteria is the main issues for research community and practitioners of the IIoT. Several decision support systems (DSSs) are offered for making decisions which have the potentiality to support the activities of the decision-making process. The suggested study shows a review on the existing decision support systems for the IIoT for source code transformation which will enable research community and practitioners of the industry to use the existing methods, tools, approaches, and techniques and to provide novel solutions for the smooth industry of Internet of Things.

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The construction of smart city information system based on the Internet of Things and cloud computing

Cited by 151 publications

References 18 publications

COVID‐19 pandemic: a review of smart cities initiatives to face new outbreaks

COVID‐19 pandemic: a review of smart cities initiatives to face new outbreaks

Understanding Sensor Cities: Insights from Technology Giant Company Driven Smart Urbanism Practices

A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation

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