A Joint Charging and Localization System for Wireless Rechargeable Sensor Networks
碩士 === 國立屏東大學 === 資訊工程學系碩士班 === 105 === The power supply for Wireless Sensor Networks (WSNs) has been a popular research issue. Therefore, several researchers have proposed Wireless Rechargeable Sensor Networks (WRSNs) to solve power replenishment issue in WSNs. WRSNs use wireless charging technolog...
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ndltd-TW-104NPTU03920072019-05-15T23:25:04Z http://ndltd.ncl.edu.tw/handle/ayspc2 A Joint Charging and Localization System for Wireless Rechargeable Sensor Networks 無線可充電感測網路中結合充電與定位系統 Gao, Chong-Min 高崇閔 碩士 國立屏東大學 資訊工程學系碩士班 105 The power supply for Wireless Sensor Networks (WSNs) has been a popular research issue. Therefore, several researchers have proposed Wireless Rechargeable Sensor Networks (WRSNs) to solve power replenishment issue in WSNs. WRSNs use wireless charging technology for supplying energy of wireless sensor nodes. We propose to use the Mobile Charging Anchor Nodes (MCANs) in WRSNs to localize and recharge wireless sensor nodes at the same time. The MCAN uses the three planning schemes to perform localization and energy replenishment. The first one is the basic planning scheme, the second one is the enhanced planning scheme, and the last one is the optimal planning scheme. The network simulator ns-2 is used to compare the three planning schemes with the grid division scheme. The simulation results show that the optimal planning Scheme outperforms the Grid Division in terms of localization accuracy and charging efficiency. Ou, Chia-Ho 歐家和 2017 學位論文 ; thesis 41 zh-TW |
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碩士 === 國立屏東大學 === 資訊工程學系碩士班 === 105 === The power supply for Wireless Sensor Networks (WSNs) has been a popular research issue. Therefore, several researchers have proposed Wireless Rechargeable Sensor Networks (WRSNs) to solve power replenishment issue in WSNs. WRSNs use wireless charging technology for supplying energy of wireless sensor nodes. We propose to use the Mobile Charging Anchor Nodes (MCANs) in WRSNs to localize and recharge wireless sensor nodes at the same time. The MCAN uses the three planning schemes to perform localization and energy replenishment. The first one is the basic planning scheme, the second one is the enhanced planning scheme, and the last one is the optimal planning scheme. The network simulator ns-2 is used to compare the three planning schemes with the grid division scheme. The simulation results show that the optimal planning Scheme outperforms the Grid Division in terms of localization accuracy and charging efficiency.
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author2 |
Ou, Chia-Ho |
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Ou, Chia-Ho Gao, Chong-Min 高崇閔 |
author |
Gao, Chong-Min 高崇閔 |
spellingShingle |
Gao, Chong-Min 高崇閔 A Joint Charging and Localization System for Wireless Rechargeable Sensor Networks |
author_sort |
Gao, Chong-Min |
title |
A Joint Charging and Localization System for Wireless Rechargeable Sensor Networks |
title_short |
A Joint Charging and Localization System for Wireless Rechargeable Sensor Networks |
title_full |
A Joint Charging and Localization System for Wireless Rechargeable Sensor Networks |
title_fullStr |
A Joint Charging and Localization System for Wireless Rechargeable Sensor Networks |
title_full_unstemmed |
A Joint Charging and Localization System for Wireless Rechargeable Sensor Networks |
title_sort |
joint charging and localization system for wireless rechargeable sensor networks |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/ayspc2 |
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