A Bluetooth Low Energy Indoor Positioning System of Location Based Mesh Network for Internet of Things
碩士 === 國立臺北科技大學 === 機械工程系機電整合碩士班 === 107 === Internet of Things(IoT) has grasped great attention in recent years. Each constructed buildings tend to be “intelligent” to enhance the convenience and safety of occupants. Therefore, Indoor Positioning System (IPS) using Bluetooth Low Energy (BLE) te...
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ndltd-TW-107TIT006510452019-11-13T05:22:47Z http://ndltd.ncl.edu.tw/handle/k85bmh A Bluetooth Low Energy Indoor Positioning System of Location Based Mesh Network for Internet of Things 位基型網型網路之藍牙室內定位系統於物聯網應用 LIN, YOU-SHENG 林宥盛 碩士 國立臺北科技大學 機械工程系機電整合碩士班 107 Internet of Things(IoT) has grasped great attention in recent years. Each constructed buildings tend to be “intelligent” to enhance the convenience and safety of occupants. Therefore, Indoor Positioning System (IPS) using Bluetooth Low Energy (BLE) technology to construct Location Based Service(LBS) is currently becoming real and available. However, this technology exists various challenges related to the behavior of the advertising channel 37、38、39 and the multipath effect. Because of these factors, they will lead to the Received Signal Strength Indicator (RSSI) fluctuations and precision. In order to mitigate these effects, this paper presents an IPS based on BLE, that improves accuracy while reducing power consumption and costs. The main point of this technique is that using PeTacom Protocol to establish Location Based Mesh Network (LBMN) and realize interactive communication between people to objects. Simultaneously, the system integrates various sensors, algorithms, and system design to establish an IPS. The analysis of the results proves that all the proposals improve the precision of the system, which precise goes up to 1.5 m for moving in area 45m×31m for devices. HUANG, JUNG-TANG 黃榮堂 2019 學位論文 ; thesis 89 zh-TW |
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碩士 === 國立臺北科技大學 === 機械工程系機電整合碩士班 === 107 === Internet of Things(IoT) has grasped great attention in recent years. Each constructed buildings tend to be “intelligent” to enhance the convenience and safety of occupants. Therefore, Indoor Positioning System (IPS) using Bluetooth Low Energy (BLE) technology to construct Location Based Service(LBS) is currently becoming real and available. However, this technology exists various challenges related to the behavior of the advertising channel 37、38、39 and the multipath effect. Because of these factors, they will lead to the Received Signal Strength Indicator (RSSI) fluctuations and precision.
In order to mitigate these effects, this paper presents an IPS based on BLE, that improves accuracy while reducing power consumption and costs. The main point of this technique is that using PeTacom Protocol to establish Location Based Mesh Network (LBMN) and realize interactive communication between people to objects. Simultaneously, the system integrates various sensors, algorithms, and system design to establish an IPS. The analysis of the results proves that all the proposals improve the precision of the system, which precise goes up to 1.5 m for moving in area 45m×31m for devices.
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author2 |
HUANG, JUNG-TANG |
author_facet |
HUANG, JUNG-TANG LIN, YOU-SHENG 林宥盛 |
author |
LIN, YOU-SHENG 林宥盛 |
spellingShingle |
LIN, YOU-SHENG 林宥盛 A Bluetooth Low Energy Indoor Positioning System of Location Based Mesh Network for Internet of Things |
author_sort |
LIN, YOU-SHENG |
title |
A Bluetooth Low Energy Indoor Positioning System of Location Based Mesh Network for Internet of Things |
title_short |
A Bluetooth Low Energy Indoor Positioning System of Location Based Mesh Network for Internet of Things |
title_full |
A Bluetooth Low Energy Indoor Positioning System of Location Based Mesh Network for Internet of Things |
title_fullStr |
A Bluetooth Low Energy Indoor Positioning System of Location Based Mesh Network for Internet of Things |
title_full_unstemmed |
A Bluetooth Low Energy Indoor Positioning System of Location Based Mesh Network for Internet of Things |
title_sort |
bluetooth low energy indoor positioning system of location based mesh network for internet of things |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/k85bmh |
work_keys_str_mv |
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