Evaluation of an IoT Application-Scoped Access Control Model over a Publish/Subscribe Architecture Based on FIWARE

García-Pozo, Alejandro; Alonso, Andoni; Salvachúa, Joaquín

doi:10.3390/s20154341

Cited by 6 publications

(4 citation statements)

References 39 publications

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“…Our rationale was that, despite the clear differences between a city and a university, the results obtained using a smart university platform can, to a certain extent, be relevant to a city, provided that the platform serves an extensive community, such as that of a university campus. This assumption is supported by previous studies according to which a university campus can be used as a less complex model of a city [12][13][14][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79]. Moreover, we sought previous works directly related to our hypothesis according to which the existence of a global framework, that includes a methodology for adding new services to a smart university platform and guarantees both ease of integration and strategic alignment, would make it easier to realise these types of projects.…”

Section: Background and Motivationmentioning

confidence: 73%

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Modelling and Implementing Smart Universities: An IT Conceptual Framework

2021

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The smart city concept has been gaining momentum in the scientific community because of its potentially huge impact on citizens’ quality of life. However, expectations have not yet been met in practice. This is firstly due to the sheer breadth of such projects and secondly to the lack of methodologies available to guide the development of flexible and sustainable platforms over time. In this work, we propose to address these issues by using a university campus as a less complex mock-up version of a city. Despite differences between them, we find services that are common to both, and a medium-sized city’s population is comparable to that of a university community. We propose an IT conceptual framework to model and implement smart university projects, which supports the design of a platform that is both in line with the strategic plans of universities and is flexible, sustainable, stable, and sufficiently modular to support the addition of different value-added services over the years. Our framework is based on a service provision model materialised in an IT architecture and managed following a methodology to integrate IT components that ensure the insertion of new, smart initiatives of value to the community, aligned with the university’s needs, via a value-added service planning process. The results are presented in the University of Alicante case study and the SmartUA project.

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Section: Background and Motivationmentioning

confidence: 73%

“…In terms of more technical research, a number of works introduce specific smart city architectures [73][74][75][76]. Open-source development platforms such as Fiware [77] even exist, together with several studies that have used these platforms for their own development or validation [78][79][80].…”

Section: Background and Motivationmentioning

confidence: 99%

Modelling and Implementing Smart Universities: An IT Conceptual Framework

2021

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“…Communication & data sharing [36][37][38][39]43,[51][52][53][54][55][56] Criterion is related to the use of different innovative smart technologies that enable communication between other systems in buildings: cloud base data storage and IoT. Besides, data protection, wireless communication, and cyber systems are guidelines for creating sub-criteria.…”

Section: Criterion and Descriptionmentioning

confidence: 99%

Interval Valued Pythagorean Fuzzy AHP Integrated Model in a Smartness Assessment Framework of Buildings

Milošević

Stević³

et al. 2023

Axioms

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Buildings can be made more user-friendly and secure by putting “smart” design strategies and technology processes in place. Such strategies and processes increase energy efficiency, make it possible to use resources rationally, and lower maintenance and construction costs. In addition to using wireless technologies and sensors to improve thermal, visual, and acoustic comfort, “smart” buildings are known for their energy, materials, water, and land management systems. Smart buildings use wireless technologies and sensors to improve thermal, visual, and acoustic comfort. These systems are known for managing energy, materials, water, and land. The task of the study is to consider the indicators that form the basis of the framework for evaluating intelligent buildings. The indicators for the development of “smart” buildings are classified into six categories in this paper: green building construction, energy management systems, safety and security management systems, occupant comfort and health, building automation and control management systems, and communication and data sharing. The paper aims to develop a scoring model for the smartness of public buildings. In developing the scoring system, the decision-making process requires an appropriate selection of the optimal solution. The contents of the research are the methods known as the Pythagorean Fuzzy Analytic Hierarchy Process (PF-AHP), Interval Valued Pythagorean Fuzzy AHP with differences (IVPF-AHP d), and the proposed method Interval Valued Pythagorean Fuzzy AHP (IVPF-AHP p). The research focuses on the IVPF-AHP as one of the methods of Multi-Criteria Decision-Making (MCDM) and its implementation. The comparative analysis of the three presented methods indicates a significant degree of similarity in the ranking, which confirms the ranking similarity. The results highlight the importance of bioclimatic design, smart metering, ecological materials, and renewable energy systems.

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“…Intelligent controls and management [5,23,28] Energy-efficient procedure development and usage [9,10,28,29] Adaptive energy systems [8,9,30] Energy storage [8,23,31] Smart metering and peak demand calculation [23,31,32] 02. Health and safety Assistance to people for health care [5,8,10,33] Security and access control [9,34] Emergency response [9,10,35,36] Movement detection [36,37] Weather prediction and disaster response [35,38,39] Table 1. Cont.…”

Section: Energy Managementmentioning

confidence: 99%

Developing a Scoring System to Evaluate the Level of Smartness in Commercial Buildings: A Case of Sri Lanka

Gunatilaka¹,

Abdeen

Sepasgozar

2021

Buildings

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Smart buildings (SBs) are developed in many different ways and are self-proclaimed smart. There are a great number of publications introducing smart systems using a wider range of tools and sensors. However, the level of smartness, functions of the smart system, and the usefulness of the system are not the same, which may give a wrong impression to clients or potential buyers of a building. Developing a scoring system that enables determining the overall smartness of a building is necessary. Despite the necessity, there is a dearth of studies in this area. Hence, the purpose of this study is to develop a scoring system to evaluate the level of smartness of Sri Lankan commercial buildings. Thus, initially, smart criteria were identified, defined, and categorized through a literature survey. Subsequently, 35 experts in the commercial building sector were interviewed. Finally, the relative importance of the smart criteria was derived through the AHP technique, and accordingly, a scoring system was developed. The study identified six main criteria to evaluate the smartness of buildings in the scoring system. The automation criterion with the highest relative weight was concluded to be the dominant criterion (45.59%) in the scoring system. Communication and data sharing were placed at second with a relative weight of 18.76% and indicates the importance given by the study findings in establishing the backbones of SBs. Occupants’ comfort, energy management, occupants’ health and safety, and sustainability criterion were ranked third, fourth, fifth, and sixth within the scoring system. This study is one of the first to investigate in detail the contribution of both soft and hard services of a facility in determining the overall smartness of a building. Property developers in the commercial building sector can benefit from this study by recognizing the necessary criteria to be embedded in their SB development projects in order to attract more tenants and customers.

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Evaluation of an IoT Application-Scoped Access Control Model over a Publish/Subscribe Architecture Based on FIWARE

Cited by 6 publications

References 39 publications

Modelling and Implementing Smart Universities: An IT Conceptual Framework

Modelling and Implementing Smart Universities: An IT Conceptual Framework

Interval Valued Pythagorean Fuzzy AHP Integrated Model in a Smartness Assessment Framework of Buildings

Developing a Scoring System to Evaluate the Level of Smartness in Commercial Buildings: A Case of Sri Lanka

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