Smoothed Airtime Linear Tuning and Optimized REACT with Multi-hop Extensions
abstract: Medium access control (MAC) is a fundamental problem in wireless networks. In ad-hoc wireless networks especially, many of the performance and scaling issues these networks face can be attributed to their use of the core IEEE 802.11 MAC protocol: distributed coordination function (DCF)....
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ndltd-asu.edu-item-492492018-06-22T03:09:28Z Smoothed Airtime Linear Tuning and Optimized REACT with Multi-hop Extensions abstract: Medium access control (MAC) is a fundamental problem in wireless networks. In ad-hoc wireless networks especially, many of the performance and scaling issues these networks face can be attributed to their use of the core IEEE 802.11 MAC protocol: distributed coordination function (DCF). Smoothed Airtime Linear Tuning (SALT) is a new contention window tuning algorithm proposed to address some of the deficiencies of DCF in 802.11 ad-hoc networks. SALT works alongside a new user level and optimized implementation of REACT, a distributed resource allocation protocol, to ensure that each node secures the amount of airtime allocated to it by REACT. The algorithm accomplishes that by tuning the contention window size parameter that is part of the 802.11 backoff process. SALT converges more tightly on airtime allocations than a contention window tuning algorithm from previous work and this increases fairness in transmission opportunities and reduces jitter more than either 802.11 DCF or the other tuning algorithm. REACT and SALT were also extended to the multi-hop flow scenario with the introduction of a new airtime reservation algorithm. With a reservation in place multi-hop TCP throughput actually increased when running SALT and REACT as compared to 802.11 DCF, and the combination of protocols still managed to maintain its fairness and jitter advantages. All experiments were performed on a wireless testbed, not in simulation. Dissertation/Thesis Mellott, Matthew (Author) Syrotiuk, Violet (Advisor) Colbourn, Charles (Committee member) Tinnirello, Ilenia (Committee member) Arizona State University (Publisher) Computer science eng 59 pages Masters Thesis Computer Science 2018 Masters Thesis http://hdl.handle.net/2286/R.I.49249 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2018 |
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English |
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Dissertation |
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Computer science |
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Computer science Smoothed Airtime Linear Tuning and Optimized REACT with Multi-hop Extensions |
description |
abstract: Medium access control (MAC) is a fundamental problem in wireless networks.
In ad-hoc wireless networks especially, many of the performance and scaling issues
these networks face can be attributed to their use of the core IEEE 802.11 MAC
protocol: distributed coordination function (DCF). Smoothed Airtime Linear Tuning
(SALT) is a new contention window tuning algorithm proposed to address some of the
deficiencies of DCF in 802.11 ad-hoc networks. SALT works alongside a new user level
and optimized implementation of REACT, a distributed resource allocation protocol,
to ensure that each node secures the amount of airtime allocated to it by REACT.
The algorithm accomplishes that by tuning the contention window size parameter
that is part of the 802.11 backoff process. SALT converges more tightly on airtime
allocations than a contention window tuning algorithm from previous work and this
increases fairness in transmission opportunities and reduces jitter more than either
802.11 DCF or the other tuning algorithm. REACT and SALT were also extended
to the multi-hop flow scenario with the introduction of a new airtime reservation
algorithm. With a reservation in place multi-hop TCP throughput actually increased
when running SALT and REACT as compared to 802.11 DCF, and the combination of
protocols still managed to maintain its fairness and jitter advantages. All experiments
were performed on a wireless testbed, not in simulation. === Dissertation/Thesis === Masters Thesis Computer Science 2018 |
author2 |
Mellott, Matthew (Author) |
author_facet |
Mellott, Matthew (Author) |
title |
Smoothed Airtime Linear Tuning and Optimized REACT with Multi-hop Extensions |
title_short |
Smoothed Airtime Linear Tuning and Optimized REACT with Multi-hop Extensions |
title_full |
Smoothed Airtime Linear Tuning and Optimized REACT with Multi-hop Extensions |
title_fullStr |
Smoothed Airtime Linear Tuning and Optimized REACT with Multi-hop Extensions |
title_full_unstemmed |
Smoothed Airtime Linear Tuning and Optimized REACT with Multi-hop Extensions |
title_sort |
smoothed airtime linear tuning and optimized react with multi-hop extensions |
publishDate |
2018 |
url |
http://hdl.handle.net/2286/R.I.49249 |
_version_ |
1718701793853046784 |