WLAN Cell Handoff Latency Abatement Using an FPGA Fuzzy Logic Algorithm Implementation
Following the path toward 4 G set by its wireless siblings LTE and WiMax, IEEE 802.11 technology, universally known as WiFi, is evolving to become a high data rate QoS-enabled mobile platform. The IEEE 802.11n standard yields data rates up to 450 Mbp s and the 802.11e standard ensures proficient QoS...
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doaj-c5fd21647a904340b73fbe6fa1cff2a62020-11-24T22:18:15ZengHindawi LimitedAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/219602219602WLAN Cell Handoff Latency Abatement Using an FPGA Fuzzy Logic Algorithm ImplementationRoberto Sepúlveda0Oscar Montiel-Ross1Jorge Quiñones-Rivera2Ernesto E. Quiroz3Instituto Politécnico Nacional-CITEDI, Avenida del Parque No. 1310, 22510 Tijuana, BC, MexicoInstituto Politécnico Nacional-CITEDI, Avenida del Parque No. 1310, 22510 Tijuana, BC, MexicoInstituto Politécnico Nacional-CITEDI, Avenida del Parque No. 1310, 22510 Tijuana, BC, MexicoInstituto Politécnico Nacional-CITEDI, Avenida del Parque No. 1310, 22510 Tijuana, BC, MexicoFollowing the path toward 4 G set by its wireless siblings LTE and WiMax, IEEE 802.11 technology, universally known as WiFi, is evolving to become a high data rate QoS-enabled mobile platform. The IEEE 802.11n standard yields data rates up to 450 Mbp s and the 802.11e standard ensures proficient QoS for real-time applications. Still in need of better performance, multicell environments that provide extended coverage allow the mobile station nomadic passage beyond a single cell by means of cell dissociation-association process known as handoff. This process poses a challenge for real-time applications like voice over IP (150 ms maximum delay) and video (200–400 ms) sessions, to give the user a seamless cell-crossing without data loss or session breakage. It presented an approach of a predictive fuzzy Logic controller to reduce the channel scanning process to a tenth of the standard time, and its efficient FPGA implementation to speed up the processing time. The algorithm of the fuzzy controller was implemented in C language. Experimental results are provided.http://dx.doi.org/10.1155/2012/219602 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Roberto Sepúlveda Oscar Montiel-Ross Jorge Quiñones-Rivera Ernesto E. Quiroz |
spellingShingle |
Roberto Sepúlveda Oscar Montiel-Ross Jorge Quiñones-Rivera Ernesto E. Quiroz WLAN Cell Handoff Latency Abatement Using an FPGA Fuzzy Logic Algorithm Implementation Advances in Fuzzy Systems |
author_facet |
Roberto Sepúlveda Oscar Montiel-Ross Jorge Quiñones-Rivera Ernesto E. Quiroz |
author_sort |
Roberto Sepúlveda |
title |
WLAN Cell Handoff Latency Abatement Using an FPGA Fuzzy Logic Algorithm Implementation |
title_short |
WLAN Cell Handoff Latency Abatement Using an FPGA Fuzzy Logic Algorithm Implementation |
title_full |
WLAN Cell Handoff Latency Abatement Using an FPGA Fuzzy Logic Algorithm Implementation |
title_fullStr |
WLAN Cell Handoff Latency Abatement Using an FPGA Fuzzy Logic Algorithm Implementation |
title_full_unstemmed |
WLAN Cell Handoff Latency Abatement Using an FPGA Fuzzy Logic Algorithm Implementation |
title_sort |
wlan cell handoff latency abatement using an fpga fuzzy logic algorithm implementation |
publisher |
Hindawi Limited |
series |
Advances in Fuzzy Systems |
issn |
1687-7101 1687-711X |
publishDate |
2012-01-01 |
description |
Following the path toward 4 G set by its wireless siblings LTE and WiMax, IEEE 802.11 technology, universally known as WiFi, is evolving to become a high data rate QoS-enabled mobile platform. The IEEE 802.11n standard yields data rates up to 450 Mbp s and the 802.11e standard ensures proficient QoS for real-time applications. Still in need of better performance, multicell environments that provide extended coverage allow the mobile station nomadic passage beyond a single cell by means of cell dissociation-association process known as handoff. This process poses a challenge for real-time applications like voice over IP (150 ms maximum delay) and video (200–400 ms) sessions, to give the user a seamless cell-crossing without data loss or session breakage. It presented an approach of a predictive fuzzy Logic controller to reduce the channel scanning process to a tenth of the standard time, and its efficient FPGA implementation to speed up the processing time. The algorithm of the fuzzy controller was implemented in C language. Experimental results are provided. |
url |
http://dx.doi.org/10.1155/2012/219602 |
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