Physical-carrier-sensing-based Ripple Protocol for Multihop Wireless Backhaul Networks

碩士 === 國立臺灣科技大學 === 電子工程系 === 99 === In [14], a Ripple protocol was proposed to maximize the spatial reuse and protect nodes from unintentional packet collisions for a chain-based multihop wireless backhaul network (MWBN). A physical-carrier-sensing-based Ripple (PCS-Ripple) protocol is then present...

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Main Authors: Shang-Yung Tung, 童尚勇
Other Authors: Ray-Guang Cheng
Format: Others
Language:en_US
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/56pf9q
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spelling ndltd-TW-099NTUS54281592019-05-15T20:42:07Z http://ndltd.ncl.edu.tw/handle/56pf9q Physical-carrier-sensing-based Ripple Protocol for Multihop Wireless Backhaul Networks 適用於多躍式無線骨幹網路之實體層載波偵測漣波協定 Shang-Yung Tung 童尚勇 碩士 國立臺灣科技大學 電子工程系 99 In [14], a Ripple protocol was proposed to maximize the spatial reuse and protect nodes from unintentional packet collisions for a chain-based multihop wireless backhaul network (MWBN). A physical-carrier-sensing-based Ripple (PCS-Ripple) protocol is then presented to remove assumptions of ‘identical data transmission time’ and ‘identical interference range and transmission range’ in Ripple, and the shadowing effect was considered. An analytical model is further presented to estimate the performance of PCS-Ripple. The effectiveness of PCS-Ripple and the accuracy of the analysis were verified via NS-2. Simulation results indicate that PCS-Ripple achieved stable and higher throughput than that of 802.11 DCF in highly loaded situations. Ray-Guang Cheng 鄭瑞光 2011 學位論文 ; thesis 31 en_US
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description 碩士 === 國立臺灣科技大學 === 電子工程系 === 99 === In [14], a Ripple protocol was proposed to maximize the spatial reuse and protect nodes from unintentional packet collisions for a chain-based multihop wireless backhaul network (MWBN). A physical-carrier-sensing-based Ripple (PCS-Ripple) protocol is then presented to remove assumptions of ‘identical data transmission time’ and ‘identical interference range and transmission range’ in Ripple, and the shadowing effect was considered. An analytical model is further presented to estimate the performance of PCS-Ripple. The effectiveness of PCS-Ripple and the accuracy of the analysis were verified via NS-2. Simulation results indicate that PCS-Ripple achieved stable and higher throughput than that of 802.11 DCF in highly loaded situations.
author2 Ray-Guang Cheng
author_facet Ray-Guang Cheng
Shang-Yung Tung
童尚勇
author Shang-Yung Tung
童尚勇
spellingShingle Shang-Yung Tung
童尚勇
Physical-carrier-sensing-based Ripple Protocol for Multihop Wireless Backhaul Networks
author_sort Shang-Yung Tung
title Physical-carrier-sensing-based Ripple Protocol for Multihop Wireless Backhaul Networks
title_short Physical-carrier-sensing-based Ripple Protocol for Multihop Wireless Backhaul Networks
title_full Physical-carrier-sensing-based Ripple Protocol for Multihop Wireless Backhaul Networks
title_fullStr Physical-carrier-sensing-based Ripple Protocol for Multihop Wireless Backhaul Networks
title_full_unstemmed Physical-carrier-sensing-based Ripple Protocol for Multihop Wireless Backhaul Networks
title_sort physical-carrier-sensing-based ripple protocol for multihop wireless backhaul networks
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/56pf9q
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