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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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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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.
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Ray-Guang Cheng |
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Ray-Guang Cheng Shang-Yung Tung 童尚勇 |
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Shang-Yung Tung 童尚勇 |
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Shang-Yung Tung 童尚勇 Physical-carrier-sensing-based Ripple Protocol for Multihop Wireless Backhaul Networks |
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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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