TY - GEN
T1 - Sustainable Framework for Smart Assistive Living Improvement through IoT-based Integration Model
AU - Andreas, Andreou
AU - Mavromoustakis, Constandinos X.
AU - Mastorakis, George
AU - Batalla, Jordi Mongay
AU - Pallis, Evangelos
AU - Chatzimisios, Periklis
N1 - Funding Information:
This research work was undertaken under the project entitled 'Smart and Health Ageing through People Engaging in supporting Systems' with the acronym SHAPES, which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 857159.
Funding Information:
ACKNOWLEDGEMENT This research work was undertaken under the project entitled ‘Smart and Health Ageing through People Engaging in supporting Systems’ with the acronym SHAPES, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 857159.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - It is beneficial to encapsulate in a context age-friendly communities sustainable and affordable innovative solutions and their benefits for a comfortable, meaningful, and independent life in an intelligent environment. Assessing and supervising older adults' services and facilities are essential to improving well-being. These assessments form the basis for creating an age-friendly urban environment based on the IoT's smart integration. Our research focuses on developing a frame for services selection that needs to be optimized by finding a pattern to identify User Preferences (UPs). The deployment of Markov's chain is followed by the Quality of Service (QoS) for the available services in an urban ecosystem. We then utilized the Best Worst Method (BWM), a Multi-Criteria Decision Making (MCDM) method, to rank the urban locations. We also prove that the proposed method outperforms the Analytic Hierarchy Process (AHP). The proposed methodology provides a prioritized list of the age-friendly places in an EU city based on the provision of the services considering the UPs. Validation has been performed through a case study using accurate QoS performance data by using the Place Standard tool.
AB - It is beneficial to encapsulate in a context age-friendly communities sustainable and affordable innovative solutions and their benefits for a comfortable, meaningful, and independent life in an intelligent environment. Assessing and supervising older adults' services and facilities are essential to improving well-being. These assessments form the basis for creating an age-friendly urban environment based on the IoT's smart integration. Our research focuses on developing a frame for services selection that needs to be optimized by finding a pattern to identify User Preferences (UPs). The deployment of Markov's chain is followed by the Quality of Service (QoS) for the available services in an urban ecosystem. We then utilized the Best Worst Method (BWM), a Multi-Criteria Decision Making (MCDM) method, to rank the urban locations. We also prove that the proposed method outperforms the Analytic Hierarchy Process (AHP). The proposed methodology provides a prioritized list of the age-friendly places in an EU city based on the provision of the services considering the UPs. Validation has been performed through a case study using accurate QoS performance data by using the Place Standard tool.
KW - age-friendly
KW - intergenerational
KW - internet of things
KW - multi-generational
KW - smart-city
KW - suburban
KW - urban communities
KW - urban neighbourhoods
UR - http://www.scopus.com/inward/record.url?scp=85142297756&partnerID=8YFLogxK
U2 - 10.1109/MeditCom55741.2022.9928640
DO - 10.1109/MeditCom55741.2022.9928640
M3 - Conference contribution
AN - SCOPUS:85142297756
T3 - 2022 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022
SP - 31
EP - 36
BT - 2022 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2022
Y2 - 5 September 2022 through 8 September 2022
ER -