完整後設資料紀錄
DC 欄位語言
dc.contributor.author楊顥晨zh_TW
dc.contributor.author黃經堯zh_TW
dc.contributor.authorYang, Hao-Chenen_US
dc.contributor.authorHuang, Ching-Yaoen_US
dc.date.accessioned2018-01-24T07:37:32Z-
dc.date.available2018-01-24T07:37:32Z-
dc.date.issued2016en_US
dc.identifier.urihttp://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT070350248en_US
dc.identifier.urihttp://hdl.handle.net/11536/139150-
dc.description.abstract在無線網路通訊系統中,如何有效利用有限的資源一直是最重要的議題。在未來的無線網路通訊系統中我們很可能會形成一個異質、多層網路結構的物聯網系統。在物聯網系統中將存在眾多智慧應用裝置,這龐大的基數將會使問題變得過於複雜。一個不錯的解決辦法是利用分群演算法,來把這些眾多裝置分配到合適的群組。這樣一來能夠有效地把群組數量降低到系統能夠處理的範圍,成員再交由群組內分散處理。 而未來在可能出現的物聯網中可能存在有許多裝置有著不需要即時傳輸資料的特性,同時存在充電或更換電源不易的問題,所以在這些應用中主要需要考慮的是能量使用率或是能量消耗的問題。在本篇研究中我們利用互聯網在低移動能力、低功率消耗,和低傳輸速率的鄰近通訊協定連接能力,找出最適合的協調者幫忙傳輸,以期達到最佳的能量效率,並形成所設定的群組數量。zh_TW
dc.description.abstractIn the wireless communication network system, the most important issue is how to utilize the limited resources efficiently. We may probably be facing a heterogeneous and multi-layer archi-tecture in the future generation wireless communication network system supporting the Internet of Things connectivity. There’re going to be a lot of different usages in smart devices and applications. The enormous numbers of these devices will definitely make the problem to be too complex. One effective solution proposed is to take the advantage of clustering algorithm, which is to divide the devices into suitable groups. Once the good division is made, the system can greatly decrease processing or control loading, and can even reuse resources with proper arrangement. There may also exist devices such as sensors, having the characteristic which is regardless of immediate data transmission. In these applications, energy consumption efficiency should be considered in the first place due to the difficulty of recharging and battery replacing. In this re-search, we try to solve the mentioned problem with the low mobility, low power consumption protocols within neighboring linkage, and low data rate condition in the Internet of Things.en_US
dc.language.isoen_USen_US
dc.subject分群zh_TW
dc.subject能量效率zh_TW
dc.subjectclustering algorithmen_US
dc.subjectenergy efficienten_US
dc.title物聯網能量效率分群分析zh_TW
dc.titleAnalysis for Energy Efficient Clustering Algorithm in the IoT Network Systemen_US
dc.typeThesisen_US
dc.contributor.department電子工程學系 電子研究所zh_TW
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