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Scientific Article details

Title Evaluating Urban Environments for the Integration of Cutting-Edge Technologies Enhances Smart Cities' Evolution
ID_Doc 41849
Authors Andreou, A; Mavromoustakis, CX; Batalla, JM; Markakis, E; Mastorakis, G; Chatzimisios, P
Title Evaluating Urban Environments for the Integration of Cutting-Edge Technologies Enhances Smart Cities' Evolution
Year 2023
Published
DOI 10.1109/ICC45041.2023.10278752
Abstract The endeavours to interpret the acquired data are combined with the efforts to strengthen the smart city's multidimensional framework. As the name implies, smart cities are built atop more intelligent data. However, it is a significant challenge because Big Data needs to be evaluated to provide interpretation for a posterior evolution of the current technology. Therefore, using the right building blocks is vital, aligned with clear and convincing guidelines on best practices. To achieve a scale of evaluation, we need standards. The intertwining development drivers need to define how we see and measure the world around us and how this Big Data in the era of IoT informs the decision-making processes. Hence, we are introducing an evaluation model for Big Data obtained from the assessment of Quality of Service (QoS) and Quality of Experience (QoE) delivery in an urban environment. Using the Best-Worst Method (BWM) combined with the orientation of Intuitionistic fuzzy sets. We obtained intuitive preference information based on various criteria. Thus, by prioritizing these end-user predilections and transmitting them into adaptable technological improvements, we achieved a significant step toward sustainable Smart Cities.
Author Keywords Smart City; Big Data; Best-Worst method; intuitionistic fuzzy sets; QoS; QoE
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:001094862603073
WoS Category Telecommunications
Research Area Telecommunications
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