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https://ptsldigital.ukm.my/jspui/handle/123456789/476373Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | P53610 | |
| dc.contributor.author | Masoud Shakiba (P53610) | |
| dc.date.accessioned | 2023-10-06T09:17:17Z | - |
| dc.date.available | 2023-10-06T09:17:17Z | - |
| dc.date.issued | 2012-01-12 | |
| dc.identifier.other | ukmvital:84264 | |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/476373 | - |
| dc.description | Radio Frequency Identification (RFID) system is a new communication technology to identify the objects using electromagnetic waves. The main superiority of RFID systems in comparison with other identification systems, such as barcodes, is its ability in simultaneous identification process. In barcode systems objects should be scanned manually, in a one by one fashion; but a large bunch of objects can be read automatically together by means of RFID systems. Collision problem wastes time and increases energy consumption thus reduces efficiency of the identification process of RFID systems. It happens when the reader wants to identify more than one tag at the same time. Consequently, it is essential to develop an efficient anti-collision algorithm to save the time and energy and increase the performance of the system. In this thesis after investigating the previous works of the ALOHA-based anti-collision algorithms, and inspecting the available tag estimation methods, a new approach is presented to determine the new frame size in the DFSA ALOHA-based anti-collision algorithms in detail. Evaluation of the ALOHA-based algorithms and simulation of the results illustrate that presented work recognizes the tags more efficiently by reducing the number of time slots. The proposed method is potentially powerful enough to be applied in other DFSA ALOHA-based anti-collision algorithms and it is expected that by applying this method in previous algorithms, not only the simplification in implementation can be achieved, but also improvement of efficiency would be obtained.,Sistem Pengenalpastian Frekuensi Radio (RFID) adalah teknologi komunikasi agak baru untuk mengenalpasti objek dengan menggunakan gelombang elektromagnetik. Kelebihan utama sistem RFID jika dibandingkan dengan sistem pengenalpastian yang lain seperti barkod, adalah kebolehannya untuk pengenalpastian secara serentak. Sistem barkod memerlukan objek diimbas secara manual satu demi satu; tetapi satu kumpulan objek dapat boleh dibaca secara automatik dengan pengunaan sistem RFID. Masalah perlanggaran (meningkatan masa membaca) dan pengunaan tenaga yang tinggi mengurangkan kecekapan proses pengenalpastian oleh sistem RFID. Ini berlaku apabila sekelompok objek perlu dibaca secara serentak. Dengan demikian, adalah penting untuk membangunkan algoritma anti-pelanggaran untuk menjimatkan masa dan tenaga, seterusnya meningkatkan prestasi sistem. Setelah melakukan kajian kesusasteraan mengenai algoritma anti-pelanggaran berasaskan ALOHA, dan kaedah penganggaran tag, satu pendekatan baru telah dibangunkan untuk menentukan saiz frame baru dalam algoritma anti pelanggaran ALOHA DFSA. Hasil penilaian simulasi untuk algoritma berasaskan ALOHA menunjukkan kaedah yang dibangunkan dapat mengurangkan bilangan slot masa. Kaedah yang dicadangkan ini berpotensi untuk diaplikasikan kepada algoritma DFSA anti pelanggaran berasaskan ALOHA. Adalah dijangka, penggunaan kaedah ini dalam algoritma sebelum ini bukan sahaja dapat memudahkn pengimplimentasian tetapi juga dapat meningkatkan kecekapan,Master/Sarjana | |
| dc.language.iso | may | |
| dc.publisher | UKM, Bangi | |
| dc.relation | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
| dc.rights | UKM | |
| dc.subject | Radio frequency identification systems | |
| dc.subject | Identification | |
| dc.subject | Equipment and supplies | |
| dc.title | Interpolation-based tag estimation method in RFID multi-tags identification process | |
| dc.type | theses | |
| dc.format.pages | 113 | |
| dc.identifier.callno | TK6570.I34S535 2012 3 tesis | |
| dc.identifier.barcode | 001980 | |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_84264+SOURCE1+SOURCE1.0.PDF Restricted Access | 1.02 MB | Adobe PDF |  View/Open |
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