Open AccessDynamic Scheduling Policy for Patient Flow in a Smart Environment
Author(s) -
Chen Xiao,
Ding Jie,
Thomas Nigel
Publication year - 2017
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2017.01.003
Subject(s) - computer science , scheduling (production processes) , flow (mathematics) , distributed computing , dynamic priority scheduling , computer network , mathematical optimization , mathematics , quality of service , geometry
Given the popularity of smart environment in a hospital involving the participation of a large group of patients, scheduling of patients towards their desired destination is still being a challenging issue. With the development of Internet of Things (IoT), smart environments are increasingly being deployed in various public scenarios and in particular, hospitals are an important target environment for smart environments. This paper models a dynamic scheduling policy based on a patient flow scenario in order to solve the queuing issue and facilitate people's experience. The dynamic scheduling policy aims to forward incoming patients to dissolve jams especially at the peaks by giving accurate predication of appointment time. The main modelling technique is a formal method — Performance evaluation process algebra (PEPA). The findings show that the dynamic scheduling policy is able to efficiently improve the patient flow.