DEVELOPMENT OF PASSIVE AVAILABLE BANDWIDTH ESTIMATION METHOD IN IEEE 802.11 WLAN BY CONSIDERING HIDDEN NODE

QoS provisioning for real-time multimedia applications is largely determined by network’s available bandwidth. Until now there is no standard method for estimating bandwidth on wireless networks. Therefore, in this study a mathematical model called Enhanced Available Bandwidth Estimation (EABE) w...

Full description

Saved in:
Bibliographic Details
Main Author: Tanuraharja - NIM 23515020 , Joshua
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/28331
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:QoS provisioning for real-time multimedia applications is largely determined by network’s available bandwidth. Until now there is no standard method for estimating bandwidth on wireless networks. Therefore, in this study a mathematical model called Enhanced Available Bandwidth Estimation (EABE) was developed to estimate bandwidth availability passively on a Distributed Coordination Function (DCF) wireless network on the IEEE 802.11 protocol. The mathematical model developed is an improvement of the three existing mathematical models, namely Available Bandwidth Estimation (ABE), Cognitive Passive Estimation of Available Bandwidth (cPEAB), and Passive Available Bandwidth Estimation (PABE). The developed mathematical model involves the idle period synchronization between the sending node and the receiving node, the probability of overhead occurring in the Medium Access Control (MAC) layer, as well as the probability of successful packet transmission. A successful packet transmission is influenced by three variables, the probability of packet collision caused by the number of neighboring nodes, the probability of packet collision caused by traffic from the hidden node, and the probability of packet error. The proposed mathematical model was tested by comparing it with other relevant mathematical models. The performance of the four mathematical models was compared with the actual bandwidth. Using a series of experiments that have been done, it is found that the proposed mathematical model is approximately 26% more accurate than the ABE, 36% more accurate than the cPEAB-V2, and 32% more accurate than the PABE. <br />