A New Paradigm for a Marketplace of Services: Smart Communities in the IoT Era

Eltoweissy, Mohamed; Azab, Mohamed; Olariu, Stephan; Gračanin, Denis

doi:10.1109/3ict.2019.8910306

Cited by 14 publications

(26 citation statements)

References 12 publications

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Section: Smart Communitiesmentioning

confidence: 96%

“…This survey paper subscribes to the view of a Smart Community expressed recently in [4]. The vision and main contribution of [4] is to take the idea of utility computing to the next level of generality. Specifically, they envisioned the Smart Communities of the near future as offering services of all sorts bundled as utilities: the citizens consume these services on a metered basis, according to the well-known pay-as-you-go business model.…”

Section: Smart Communitiesmentioning

confidence: 96%

“…All this will be provided through various forms of human-to-human, human-to-machine, and machine-tomachine cooperation and services [2,3]. Most of these forms of cooperation and services developed between humans and machines or between autonomous machine systems have yet to be defined and understood [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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A Survey of Enabling Technologies for Smart Communities

Iqbal

Olariu

2020

Smart Cities

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In 2016, the Japanese Government publicized an initiative and a call to action for the implementation of a “Super Smart Society” announced as Society 5.0. The stated goal of Society 5.0 is to meet the various needs of the members of society through the provisioning of goods and services to those who require them, when they are required and in the amount required, thus enabling the citizens to live an active and comfortable life. In spite of its genuine appeal, details of a feasible path to Society 5.0 are conspicuously missing. The first main goal of this survey is to suggest such an implementation path. Specifically, we define a Smart Community as a human-centric entity where technology is used to equip the citizenry with information and services that they can use to inform their decisions. The arbiter of this ecosystem of services is a Marketplace of Services that will reward services aligned with the wants and needs of the citizens, while discouraging the proliferation of those that are not. In the limit, the Smart Community we defined will morph into Society 5.0. At that point, the Marketplace of Services will become a platform for the co-creation of services by a close cooperation between the citizens and their government. The second objective and contribution of this survey paper is to review known technologies that, in our opinion, will play a significant role in the transition to Society 5.0. These technologies will be surveyed in chronological order, as newer technologies often extend old technologies while avoiding their limitations.

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Section: Smart Communitiesmentioning

confidence: 96%

Section: Smart Communitiesmentioning

confidence: 96%

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A Survey of Enabling Technologies for Smart Communities

Iqbal

Olariu

2020

Smart Cities

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“…skill set, goods sold, vehicles movement). Some personal data needs to be evaluated with specific privacy requirements in consideration, but there is also a lot of data shared in open community marketplaces [55].…”

Section: Types Of Digital Data In Pandemic Managementmentioning

confidence: 99%

COVID-19 what have we learned? The rise of social machines and connected devices in pandemic management following the concepts of predictive, preventive and personalized medicine

et al. 2020

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Objectives Review, compare and critically assess digital technology responses to the COVID-19 pandemic around the world. The specific point of interest in this research is on predictive, preventive and personalized interoperable digital healthcare solutions. This point is supported by failures from the past, where the separate design of digital health solutions has led to lack of interoperability. Hence, this review paper investigates the integration of predictive, preventive and personalized interoperable digital healthcare systems. The second point of interest is the use of new mass surveillance technologies to feed personal data from health professionals to governments, without any comprehensive studies that determine if such new technologies and data policies would address the pandemic crisis. Method This is a review paper. Two approaches were used: A comprehensive bibliographic review with R statistical methods of the COVID-19 pandemic in PubMed literature and Web of Science Core Collection, supported with Google Scholar search. In addition, a case study review of emerging new approaches in different regions, using medical literature, academic literature, news articles and other reliable data sources. Results Most countries' digital responses involve big data analytics, integration of national health insurance databases, tracing travel history from individual's location databases, code scanning and individual's online reporting. Public responses of mistrust about privacy data misuse differ across countries, depending on the chosen public communication strategy. We propose predictive, preventive and personalized solutions for pandemic management, based on social machines and connected devices. Solutions The proposed predictive, preventive and personalized solutions are based on the integration of IoT data, wearable device data, mobile apps data and individual data inputs from registered users, operating as a social machine with strong security and privacy protocols. We present solutions that would enable much greater speed in future responses. These solutions are enabled by the social aspect of human-computer interactions (social machines) and the increased connectivity of humans and devices (Internet of Things). Conclusion Inadequate data for risk assessment on speed and urgency of COVID-19, combined with increased globalization of human society, led to the rapid spread of COVID-19. Despite an abundance of digital methods that could be used in slowing or stopping COVID-19 and future pandemics, the world remains unprepared, and lessons have not been learned from previous cases of pandemics. We present a summary of predictive, preventive and personalized digital methods that could be deployed fast to help with the COVID-19 and future pandemics.

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“…Thus, the cloud server is playing an important role in integrating the edge computing node or IoT devices horizontally, to provide real-time and dynamic message exchanges for supporting modern ITS applications (Iqbal et al 2018;Petrolo et al 2017). As summarized in Eltoweissy et al (2019), running ITS applications in the cloud has the following benefits. First, cloud servers give users a massive pool of computation resources that eliminate the need to install and maintain private clusters.…”

Section: Introductionmentioning

confidence: 99%