Distance-Balanced Clustering Algorithm for Wireless Sensor Networks

碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 102 === The cluster-based framework can effectively reduce energy consumption and lower data transmission collision. Currently typical algorithms focus on how to select the best cluster head (CH), neglecting the position and distance of the CH. As a result, a lot of en...

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Main Authors: Yu-Jun Cai, 蔡禹鈞
Other Authors: Tzay-Farn Shih
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/08944600012133426277
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spelling ndltd-TW-102CYUT53920062016-05-22T04:33:55Z http://ndltd.ncl.edu.tw/handle/08944600012133426277 Distance-Balanced Clustering Algorithm for Wireless Sensor Networks 距離平衡之無線感測網路叢集演算法 Yu-Jun Cai 蔡禹鈞 碩士 朝陽科技大學 資訊工程系碩士班 102 The cluster-based framework can effectively reduce energy consumption and lower data transmission collision. Currently typical algorithms focus on how to select the best cluster head (CH), neglecting the position and distance of the CH. As a result, a lot of energy is consumed when the CH transmits data. For this reason, an algorithm called the DBCA (Distance-Balanced Clustering Algorithm) that can effectively reduce each node’s energy consumption is put forward in this paper. In this algorithm, a sensor node will calculate its distance from the base station (BS), and use this distance as a factor for selecting the CH to ensure an even distance between the BS and the CHs and between each CHs. The even transmission distance was used to avoid unequal energy consumption caused by different transmission distances between CHs. The simulation results showed the algorithm can effectively reduce the whole network’s energy consumption and extend the network’s lifetime. Tzay-Farn Shih 施再繁 2014 學位論文 ; thesis 59 zh-TW
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language zh-TW
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description 碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 102 === The cluster-based framework can effectively reduce energy consumption and lower data transmission collision. Currently typical algorithms focus on how to select the best cluster head (CH), neglecting the position and distance of the CH. As a result, a lot of energy is consumed when the CH transmits data. For this reason, an algorithm called the DBCA (Distance-Balanced Clustering Algorithm) that can effectively reduce each node’s energy consumption is put forward in this paper. In this algorithm, a sensor node will calculate its distance from the base station (BS), and use this distance as a factor for selecting the CH to ensure an even distance between the BS and the CHs and between each CHs. The even transmission distance was used to avoid unequal energy consumption caused by different transmission distances between CHs. The simulation results showed the algorithm can effectively reduce the whole network’s energy consumption and extend the network’s lifetime.
author2 Tzay-Farn Shih
author_facet Tzay-Farn Shih
Yu-Jun Cai
蔡禹鈞
author Yu-Jun Cai
蔡禹鈞
spellingShingle Yu-Jun Cai
蔡禹鈞
Distance-Balanced Clustering Algorithm for Wireless Sensor Networks
author_sort Yu-Jun Cai
title Distance-Balanced Clustering Algorithm for Wireless Sensor Networks
title_short Distance-Balanced Clustering Algorithm for Wireless Sensor Networks
title_full Distance-Balanced Clustering Algorithm for Wireless Sensor Networks
title_fullStr Distance-Balanced Clustering Algorithm for Wireless Sensor Networks
title_full_unstemmed Distance-Balanced Clustering Algorithm for Wireless Sensor Networks
title_sort distance-balanced clustering algorithm for wireless sensor networks
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/08944600012133426277
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