Adaptive Protocol with Weights for Fair Distribution of Resources in Healthcare-Oriented PONs
Adaptive Protocol with Weights for Fair Distribution of Resources in Healthcare-Oriented PONs
Konstantinos Kantelis1, Anastatios Valkanis1, Petros Nikopolitidis1, Georgios Papadimitriou1, Dimitrios Kallergis2,3, Christos Douligeris3, and Panagiotis D.Bamidis4
1 Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
2 Department of Informatics and Computer Engineering, University of West Attica, Athens, Greece
3 Department of Informatics, University of Piraeus, Piraeus, Greece
4 School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
Abstract
—The rapid growth of the demand for high throughput wideband networks with increased security, ease of expansion, and cost-efficient architecture has led to a growing interest in new network technologies. Along similar lines, the healthcare sector driven by the need for higher levels of efficient hospitalization requires in addition, networking technologies that could serve the various hospital application flows in a fairway. A promising candidate that fulfills all the above requirements
is the Ethernet-based Passive Optical Network (EPON). The main aim of this paper is to propose a dynamic bandwidth allocation (DBA) scheme specifically for modern healthcare environments that ensures high levels of fairness. Modern healthcare
environments are based on a form of ubiquitous computing facilitating continuous and timely monitoring of the patients along with the support of the infrastructure of the hospital area. The algorithm incorporates Quality of Service (QoS) through
weighted flows (supports max-min fairness) and takes into consideration the different requirements that should be met due to the complexity of a hospital environment. The analysis and simulation results show that the proposed scheme ensures fairness while maintaining high levels of performance.
Index Terms
—dynamic bandwidth allocation, optical passive networks, healthcare, max-min algorithm, fairness