Fuzzy Logic and Regression Approaches for Adaptive Sampling of Multimedia Traffic in Wireless Computer Networks
| Autor: | Derek Burke, Abdussalam Salama, Reza Saatchi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Adaptive sampling
Computer science 02 engineering and technology computer.software_genre lcsh:Technology 01 natural sciences Fuzzy logic Fuzzy inference system 0202 electrical engineering electronic engineering information engineering Wireless computer network traffic sampling Multimedia lcsh:T Network packet business.industry Quality of service 010401 analytical chemistry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020206 networking & telecommunications multimedia transmission Regression 0104 chemical sciences Transmission (telecommunications) electrical_electronic_engineering quality of service network performance evaluation business computer Computer network |
| Zdroj: | Technologies; Volume 6; Issue 1; Pages: 24 Technologies, Vol 6, Iss 1, p 24 (2018) |
| ISSN: | 2227-7080 |
| Popis: | Organisations such as hospitals and the public are increasingly relying on large computer networks to access information and to communicate multimedia-type data. To assess the effectiveness of these networks, the traffic parameters need to be analysed. Due to the quantity of the data packets, examining each packet’s transmission parameters is not practical, especially in real time.\ud Sampling techniques allow a subset of packets that accurately represents the original traffic to be examined and they are thus important in evaluating the performance of multimedia networks. In this study, an adaptive sampling technique based on regression and a fuzzy inference system was developed. The technique dynamically updates the number of packets sampled by responding to the traffic’s variations. Its performance was found to be superior to the conventional nonadaptive sampling methods.\ud \ud Keywords: computer network traffic sampling; multimedia transmission; quality of service; network performance evaluation |
| Databáze: | OpenAIRE |
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