Discussing Max-Min Fairness Problem in Underwater Sensor Network

碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 97 === According to the progress of technology, Underwater Sensor Networks (UWSNs), which becomes attractive recently, provides the chance for human to explore more about the ocean. In such low bandwidth environment, using limited bandwidth more suitable is very imp...

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Main Authors: Ying-Ru Lai, 賴盈如
Other Authors: Cheng-Fu Chou
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/75727497661638128923
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spelling ndltd-TW-097NTU056410202016-05-04T04:31:49Z http://ndltd.ncl.edu.tw/handle/75727497661638128923 Discussing Max-Min Fairness Problem in Underwater Sensor Network 探討水底感測網路的極大極小公平問題 Ying-Ru Lai 賴盈如 碩士 國立臺灣大學 資訊網路與多媒體研究所 97 According to the progress of technology, Underwater Sensor Networks (UWSNs), which becomes attractive recently, provides the chance for human to explore more about the ocean. In such low bandwidth environment, using limited bandwidth more suitable is very important. This paper addresses the max-min fairness problem in UWSNs. The characteristic of long propagation delay in UWSNs make the new challenge for MAC protocol designs, called Spatial-Temporal Uncertainty. The links can exploit the spatial-temporal uncertainty to improve the temporal reuse of a bandwidth allocation. Thus, the max-min fairness rate derived by the approach for terrestrial scenarios can not work in UWSNs. To eliminate the spatial-temporal uncertainty, we propose Time Extended Conflict Graph (TECG) to represent the conflict relationship under spatial-temporal uncertainty. We also extend the proposed algorithm to provide end-to-end fairness assignment for multi-hop flows. Finally, a comprehensive study is presented and our simulation results show that our proposed max-min fairness solution can perform better than existing solutions for terrestrial wireless networks in term of the network throughput and fairness. Cheng-Fu Chou 周承復 2009 學位論文 ; thesis 32 zh-TW
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description 碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 97 === According to the progress of technology, Underwater Sensor Networks (UWSNs), which becomes attractive recently, provides the chance for human to explore more about the ocean. In such low bandwidth environment, using limited bandwidth more suitable is very important. This paper addresses the max-min fairness problem in UWSNs. The characteristic of long propagation delay in UWSNs make the new challenge for MAC protocol designs, called Spatial-Temporal Uncertainty. The links can exploit the spatial-temporal uncertainty to improve the temporal reuse of a bandwidth allocation. Thus, the max-min fairness rate derived by the approach for terrestrial scenarios can not work in UWSNs. To eliminate the spatial-temporal uncertainty, we propose Time Extended Conflict Graph (TECG) to represent the conflict relationship under spatial-temporal uncertainty. We also extend the proposed algorithm to provide end-to-end fairness assignment for multi-hop flows. Finally, a comprehensive study is presented and our simulation results show that our proposed max-min fairness solution can perform better than existing solutions for terrestrial wireless networks in term of the network throughput and fairness.
author2 Cheng-Fu Chou
author_facet Cheng-Fu Chou
Ying-Ru Lai
賴盈如
author Ying-Ru Lai
賴盈如
spellingShingle Ying-Ru Lai
賴盈如
Discussing Max-Min Fairness Problem in Underwater Sensor Network
author_sort Ying-Ru Lai
title Discussing Max-Min Fairness Problem in Underwater Sensor Network
title_short Discussing Max-Min Fairness Problem in Underwater Sensor Network
title_full Discussing Max-Min Fairness Problem in Underwater Sensor Network
title_fullStr Discussing Max-Min Fairness Problem in Underwater Sensor Network
title_full_unstemmed Discussing Max-Min Fairness Problem in Underwater Sensor Network
title_sort discussing max-min fairness problem in underwater sensor network
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/75727497661638128923
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