Mcheick Hamid, Mestrah Fawzi Al, Shbib Fatima et Koteiche Zeinab. (2022). Collaborative edge mobile model for IoT emergency management. Procedia Computer Science, 203, p. 413-419.
Prévisualisation |
PDF
- Version publiée
Disponible sous licence Creative Commons (CC-BY-NC-ND 2.5). 792kB |
URL officielle: https://dx.doi.org/doi:10.1016/j.procs.2022.07.054
Résumé
Traffic congestion has resulted in the loss of human lives globally as a result of failing to transfer accident victims, critical patients, medical equipment, and medications on time. With the ever-increasing volume of vehicular traffic, the convergence of Edge-based approaches has emerged as a potential platform for a Collaborative Edge Traffic Management Model. The collaborative edge model focuses on three objectives reducing the latency of the ambulance arrival to the accident, delivering the ambulance to the closest hospital and taking into consideration the patient case severity by a set of collaborating edges communicating to facilitate and manage this process.
Type de document: | Article publié dans une revue avec comité d'évaluation |
---|---|
ISSN: | 18770509 |
Volume: | 203 |
Pages: | p. 413-419 |
Version évaluée par les pairs: | Oui |
Date: | 2022 |
Identifiant unique: | 10.1016/j.procs.2022.07.054 |
Sujets: | Sciences naturelles et génie > Sciences mathématiques > Informatique Sciences de la santé > Sciences médicales > Administration de la santé |
Département, module, service et unité de recherche: | Départements et modules > Département d'informatique et de mathématique |
Mots-clés: | proceedings, edge computing, collaborative edge, real time response, traffic management, Internet of things for emergency system |
Déposé le: | 28 sept. 2022 15:34 |
---|---|
Dernière modification: | 28 sept. 2022 15:34 |
Éditer le document (administrateurs uniquement)