Today, on the wake of the evolution of 5G towards 6G, the complex joining of existing communication systems and the socio-technical aspects of human interactions, acquire a growing scientific interest. In particular, this can become decisive to establish innovation in healthcare. Complex networks theory and evolutionary dynamics can play a key role in designing a smart healthcare system, and enable to provide statistical estimators to understand which measures and how would be needed to dynamically manage requirements and needs. Thus, following this approach, we propose a framework for a smart healthcare scenario, to design a cognitive ambient assisted living of frail people connected. We consider the multiplex networks to represent two interdependent networks, the mobile edge computing nodes network and the social network of frail people. In the case of a multi-services environment, we evaluate the impact of evolutionary dynamics of cooperation of mobile edge computing nodes in the system. Our findings show how the evolutionary dynamics of mobile edge computing nodes allow decreasing the blocking probability, with the increasing of cooperators in the considered scenario.
|Title of host publication||Data Science and Internet of Things|
|Editors||G Fortino, A Liotta, R Gravina, A Longheu|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||21|
|Publication status||Published - 19 Feb 2021|
|Name||Internet of Things|
Bibliographical noteFunding Information:
Acknowledgements This work was partially supported by the Research Grants: Italian Ministry of University and Research (MIUR) - PON REC 2014–2020 within the project ARS01_01116 “TALIsMAN”.
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