Geographic Routing with Dead-end reduction in Ad-hoc Networks

碩士 === 國立臺灣師範大學 === 資訊工程研究所 === 100 === Many geographic routing protocols for wireless ah-hoc network have been proposed in the literatures in recent years. In geographic routing, each node in networks is aware of the location itself by GPS. The solution of local minima problem is Greedy Per...

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Main Authors: Yan-Cheng Li, 黎彥成
Other Authors: Jung-Tsung Tsai
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/73969438673567369569
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spelling ndltd-TW-100NTNU53920102016-04-04T04:17:10Z http://ndltd.ncl.edu.tw/handle/73969438673567369569 Geographic Routing with Dead-end reduction in Ad-hoc Networks 地理式路由在隨意無線網路的死路改進 Yan-Cheng Li 黎彥成 碩士 國立臺灣師範大學 資訊工程研究所 100 Many geographic routing protocols for wireless ah-hoc network have been proposed in the literatures in recent years. In geographic routing, each node in networks is aware of the location itself by GPS. The solution of local minima problem is Greedy Perimeter Stateless Routing (GPSR). However, in GPSR, when packets enter perimeter mode, hop count will increase because of right-hand rule. To improve this problem, we provide two algorithms to achieve Dead-end reduction. The essential technique employed is to divide neighbor nodes into two groups according to location information and angles between each pair of circularly consecutive neighboring nodes. In the thesis, we propose a Quasi Greedy Geographic routing (QGGR) algorithm in which a constant threshold θt is used to determine a partition of neighbor nodes into two groups. The group of neighbor nodes with max angle less than θt has higher priority than other group in the process of greedy forwarding. Furthermore, we introduce a Dynamic-Quasi Greedy algorithm in which the threshold θt is adapted according to the distance between current node and destination node. The simulation results show that QGGR and DQGGR could achieve better hop count performance and Dead-end reduction than GPSR. Jung-Tsung Tsai 蔡榮宗 2011 學位論文 ; thesis 44 zh-TW
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description 碩士 === 國立臺灣師範大學 === 資訊工程研究所 === 100 === Many geographic routing protocols for wireless ah-hoc network have been proposed in the literatures in recent years. In geographic routing, each node in networks is aware of the location itself by GPS. The solution of local minima problem is Greedy Perimeter Stateless Routing (GPSR). However, in GPSR, when packets enter perimeter mode, hop count will increase because of right-hand rule. To improve this problem, we provide two algorithms to achieve Dead-end reduction. The essential technique employed is to divide neighbor nodes into two groups according to location information and angles between each pair of circularly consecutive neighboring nodes. In the thesis, we propose a Quasi Greedy Geographic routing (QGGR) algorithm in which a constant threshold θt is used to determine a partition of neighbor nodes into two groups. The group of neighbor nodes with max angle less than θt has higher priority than other group in the process of greedy forwarding. Furthermore, we introduce a Dynamic-Quasi Greedy algorithm in which the threshold θt is adapted according to the distance between current node and destination node. The simulation results show that QGGR and DQGGR could achieve better hop count performance and Dead-end reduction than GPSR.
author2 Jung-Tsung Tsai
author_facet Jung-Tsung Tsai
Yan-Cheng Li
黎彥成
author Yan-Cheng Li
黎彥成
spellingShingle Yan-Cheng Li
黎彥成
Geographic Routing with Dead-end reduction in Ad-hoc Networks
author_sort Yan-Cheng Li
title Geographic Routing with Dead-end reduction in Ad-hoc Networks
title_short Geographic Routing with Dead-end reduction in Ad-hoc Networks
title_full Geographic Routing with Dead-end reduction in Ad-hoc Networks
title_fullStr Geographic Routing with Dead-end reduction in Ad-hoc Networks
title_full_unstemmed Geographic Routing with Dead-end reduction in Ad-hoc Networks
title_sort geographic routing with dead-end reduction in ad-hoc networks
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/73969438673567369569
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