Evolutionary Dynamics and Multiplexity for Mobile Edge Computing in a Healthcare Scenario

Barbara Attanasio, Alessandro Di Stefano, Aurelio La Corte, Marialisa Scatá

Research output: Chapter in Book/Report/Conference proceedingChapter


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.

Original languageEnglish
Title of host publicationData Science and Internet of Things
EditorsG Fortino, A Liotta, R Gravina, A Longheu
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages21
ISBN (Electronic)9783030671976
ISBN (Print)9783030671969
Publication statusPublished - 19 Feb 2021

Publication series

NameInternet of Things
ISSN (Print)2199-1073
ISSN (Electronic)2199-1081

Bibliographical note

Funding 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”.

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.


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