博碩士論文 995202007 完整後設資料紀錄

DC 欄位 語言
DC.contributor資訊工程學系zh_TW
DC.creator蔡宜蒨zh_TW
DC.creatorI-Chien Tsaien_US
dc.date.accessioned2012-7-30T07:39:07Z
dc.date.available2012-7-30T07:39:07Z
dc.date.issued2012
dc.identifier.urihttp://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=995202007
dc.contributor.department資訊工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract使用可移動的資料收集器在無線感測網路中收集資料是一個重要的研究議題。過去的作法如果不是會消耗太多的能量,就是資料傳輸成功率很低。在這篇論文中,我們針對如何在無線感測網路中,利用可移動的資料收集器以收集資料提出了兩個新的方法。第一種方法是Partial Adaptive Tree (PAT),首先我們在無線感測網路中建立資料收集樹。當可移動的資料收集器從一個地方移動到另一個地方時,我們提出的方法可以減少資料收集樹必須更新的部分。第一種方法是Partial Adaptive Tree with Path Pruning (PAT-PP),將路徑修剪的觀念引入PAT。模擬結果顯示,我們提出的這兩種方法都顯著地藉由降低更新的花費而減少能源消耗。此外,不論節點密度高低或是資料收集器的速度快慢,PAT-PP都可以保持更高的資料傳輸率。 zh_TW
dc.description.abstractData collection in wireless sensor network with a mobile sink is an important research issue. The past approaches are that either consume too much energy or produce low delivery rate. In this thesis, we propose two novel approaches to collect data for wireless sensor networks in the presence of a mobile sink. The first approach, called Partial Adaptive Tree (PAT), reduces the update portion of the tree when the mobile sink moves from one place to another. The second approach, called Partial Adaptive Tree with Path Pruning (PAT-PP), applies the concept of path pruning on top of PAT. The simulation results show that both proposed approaches reduce the energy consumption significantly. In addition, PAT-PP is able to maintain a high delivery rate regardless of the node density and the speed of the mobile sink. en_US
DC.subject資料收集樹zh_TW
DC.subject無線感測網路zh_TW
DC.subjectdata collection treeen_US
DC.subjectwireless sensor networken_US
DC.title適用於無線感測網路的可適性樹狀資料收集zh_TW
dc.language.isozh-TWzh-TW
DC.titleAdaptive Tree-based Data Collection for Wireless Sensor Networken_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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