Analysis for Energy Efficient Clustering Algorithm in the IoT Network System

碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 105 === In 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 syste...

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Main Authors: Yang, Hao-Chen, 楊顥晨
Other Authors: Huang, Ching-Yao
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/63aujm
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spelling ndltd-TW-105NCTU54280022019-05-15T23:09:03Z http://ndltd.ncl.edu.tw/handle/63aujm Analysis for Energy Efficient Clustering Algorithm in the IoT Network System 物聯網能量效率分群分析 Yang, Hao-Chen 楊顥晨 碩士 國立交通大學 電子工程學系 電子研究所 105 In 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. Huang, Ching-Yao 黃經堯 2016 學位論文 ; thesis 29 en_US
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language en_US
format Others
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description 碩士 === 國立交通大學 === 電子工程學系 電子研究所 === 105 === In 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.
author2 Huang, Ching-Yao
author_facet Huang, Ching-Yao
Yang, Hao-Chen
楊顥晨
author Yang, Hao-Chen
楊顥晨
spellingShingle Yang, Hao-Chen
楊顥晨
Analysis for Energy Efficient Clustering Algorithm in the IoT Network System
author_sort Yang, Hao-Chen
title Analysis for Energy Efficient Clustering Algorithm in the IoT Network System
title_short Analysis for Energy Efficient Clustering Algorithm in the IoT Network System
title_full Analysis for Energy Efficient Clustering Algorithm in the IoT Network System
title_fullStr Analysis for Energy Efficient Clustering Algorithm in the IoT Network System
title_full_unstemmed Analysis for Energy Efficient Clustering Algorithm in the IoT Network System
title_sort analysis for energy efficient clustering algorithm in the iot network system
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/63aujm
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