High Efficient Mobile RFID Networking With Tag Anti-Collision Mechanism

碩士 === 國立臺灣科技大學 === 電機工程系 === 98 === The speed of information has become very crucial in everyday lives. People seek their demand in the fastest Information Technology (IT) even though it would likely spend very high cost for the system’s usage. One of the technologies that are not as expensive as t...

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Main Authors: mona azama, 卜夢娜
Other Authors: Jiann-Liang Chen
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/56446584637541108586
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spelling ndltd-TW-098NTUS54420392016-04-22T04:23:45Z http://ndltd.ncl.edu.tw/handle/56446584637541108586 High Efficient Mobile RFID Networking With Tag Anti-Collision Mechanism 防標籤碰撞機制之高效率行動RFID網路 mona azama 卜夢娜 碩士 國立臺灣科技大學 電機工程系 98 The speed of information has become very crucial in everyday lives. People seek their demand in the fastest Information Technology (IT) even though it would likely spend very high cost for the system’s usage. One of the technologies that are not as expensive as the other sophisticated devices is using the radio frequencies. This research intends to gain the fastest information by applying the Radio Frequency Identification (RFID) technology which is integrated with the cloud computing system. It has been forecasted that the RFID will soon take over very important features in our lives. Starting from the ability to identify, track and monitor logistics. Other than that, many researchers in this field have a high passion to shift the orientation from supply management to commercial use. If we assumed that this research used the scenario in the supermarket for logistic use, we could also anticipate the function of this proposed system to be used in education area as well. For example in contribution at the education field is applying the book management in libraries, student absent systems, anti cheating application, etc. The most promising application is to identify the object in museums and exhibitions. Once the reader retrieve the EPC code from the tags, the reader may operate an automated operation to retrieve detail information about the object being scanned. Since the RFID microchips only have very limited memory, the database of the proposed system we used is on the Google’s private cloud. The basic idea for using the cloud computing is to minimize cost of purchasing and maintaining a large number of electronic devices. To set up an application for the database, we only need a personal computer as the local host. When the interface and the usage of the application suit your demand, we can deploy it directly to the Google’s infrastructure. When detecting numerous tags at the same time, there is always a possibility for collisions to occur. There is the tag’s collision problem and also the readers collision problem. Since we used only one mobile reader for the experiments, we may neglect the possibility of the reader’s collision problem. However, the tag’s collision problem still exists. The collision may result in undetected tags ID or misinterpretation of a different code. The implementation of the anti-collision at the mobile reader is to solve the problem. Another breakthrough in this research is the implementation of the Tag’s Anti-Collision scheme embedded in the mobile reader. Ever since the RFID is used for logistic matter, the anti collisions were always operated at the middleware or at the static reader of the system. As the research conducted, the mobile RFID reader that we used cannot be implemented with the tags anti-collision algorithm. We need to modify the hardware to continue the implementation of the tag anti-collision algorithm into the mRFID reader. To cover this limitation, we did a computer simulation using MATLAB to distinguish the performance of the RFID readings. The performance of the proposed method was compared to the Slotted ALOHA algorithm. Although the system works according to expectations, we still need more time to modify the mRFID reader to continue this research. Jiann-Liang Chen Hsin-Chin Liu 陳俊良 劉馨勤 2010 學位論文 ; thesis 86 en_US
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description 碩士 === 國立臺灣科技大學 === 電機工程系 === 98 === The speed of information has become very crucial in everyday lives. People seek their demand in the fastest Information Technology (IT) even though it would likely spend very high cost for the system’s usage. One of the technologies that are not as expensive as the other sophisticated devices is using the radio frequencies. This research intends to gain the fastest information by applying the Radio Frequency Identification (RFID) technology which is integrated with the cloud computing system. It has been forecasted that the RFID will soon take over very important features in our lives. Starting from the ability to identify, track and monitor logistics. Other than that, many researchers in this field have a high passion to shift the orientation from supply management to commercial use. If we assumed that this research used the scenario in the supermarket for logistic use, we could also anticipate the function of this proposed system to be used in education area as well. For example in contribution at the education field is applying the book management in libraries, student absent systems, anti cheating application, etc. The most promising application is to identify the object in museums and exhibitions. Once the reader retrieve the EPC code from the tags, the reader may operate an automated operation to retrieve detail information about the object being scanned. Since the RFID microchips only have very limited memory, the database of the proposed system we used is on the Google’s private cloud. The basic idea for using the cloud computing is to minimize cost of purchasing and maintaining a large number of electronic devices. To set up an application for the database, we only need a personal computer as the local host. When the interface and the usage of the application suit your demand, we can deploy it directly to the Google’s infrastructure. When detecting numerous tags at the same time, there is always a possibility for collisions to occur. There is the tag’s collision problem and also the readers collision problem. Since we used only one mobile reader for the experiments, we may neglect the possibility of the reader’s collision problem. However, the tag’s collision problem still exists. The collision may result in undetected tags ID or misinterpretation of a different code. The implementation of the anti-collision at the mobile reader is to solve the problem. Another breakthrough in this research is the implementation of the Tag’s Anti-Collision scheme embedded in the mobile reader. Ever since the RFID is used for logistic matter, the anti collisions were always operated at the middleware or at the static reader of the system. As the research conducted, the mobile RFID reader that we used cannot be implemented with the tags anti-collision algorithm. We need to modify the hardware to continue the implementation of the tag anti-collision algorithm into the mRFID reader. To cover this limitation, we did a computer simulation using MATLAB to distinguish the performance of the RFID readings. The performance of the proposed method was compared to the Slotted ALOHA algorithm. Although the system works according to expectations, we still need more time to modify the mRFID reader to continue this research.
author2 Jiann-Liang Chen
author_facet Jiann-Liang Chen
mona azama
卜夢娜
author mona azama
卜夢娜
spellingShingle mona azama
卜夢娜
High Efficient Mobile RFID Networking With Tag Anti-Collision Mechanism
author_sort mona azama
title High Efficient Mobile RFID Networking With Tag Anti-Collision Mechanism
title_short High Efficient Mobile RFID Networking With Tag Anti-Collision Mechanism
title_full High Efficient Mobile RFID Networking With Tag Anti-Collision Mechanism
title_fullStr High Efficient Mobile RFID Networking With Tag Anti-Collision Mechanism
title_full_unstemmed High Efficient Mobile RFID Networking With Tag Anti-Collision Mechanism
title_sort high efficient mobile rfid networking with tag anti-collision mechanism
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/56446584637541108586
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