Preprint Article Version 1 This version is not peer-reviewed

Fuzzy logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks

Version 1 : Received: 2 February 2018 / Approved: 2 February 2018 / Online: 2 February 2018 (16:15:31 CET)

A peer-reviewed article of this Preprint also exists.

Salama, A.; Saatchi, R.; Burke, D. Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks. Technologies 2018, 6, 24. Salama, A.; Saatchi, R.; Burke, D. Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks. Technologies 2018, 6, 24.

Journal reference: Technologies 2018, 6, 24
DOI: 10.3390/technologies6010024

Abstract

Electronic-health applications rely on large computer networks to facilitate patients' information access and to communicate various types of medical data. To examine the effectiveness of these networks, the traffic parameters need to be analysed. Due to quantity of the information carrying packets, examining each packet's transmission parameters individually is not practical, especially when a real time operation is needed. Sampling allows a subset of packets that accurately represents the original traffic to be formed. In this study an adaptive sampling method based on regression and fuzzy inference system was developed. It dynamically updates the number of packets sampled by responding to the traffic variations. Its performance was found to be superior to the conventional non-adaptive sampling methods.

Subject Areas

e-health, computer network traffic sampling, multimedia transmission, quality of service.

Readers' Comments and Ratings (1)

Importance: How significant is the paper to the field?
Outstanding/highlight paper
0%
Significant contribution
100%
Incremental contribution
0%
No contribution
0%
Soundness of evidence/arguments presented:
Conclusions well supported
100%
Most conclusions supported (minor revision needed)
0%
Incomplete evidence (major revision needed)
0%
Hypothesis, unsupported conclusions, or proof-of-principle
0%
Comment 1
Received: 6 February 2018
The commenter has declared there is no conflict of interests.
Comment: Adaptive sampling of network traffic is important technique. This article propose a novel adaptive sampling mechanism of network traffic that could change sampling interval based on traffic behaviour.
+ Respond to this comment
Leave a public comment
Send a private comment to the author(s)
Rate this article
Views 0
Downloads 0
Comments 1
Metrics 0
Leave a public comment

×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.