Reduce collisions and increase the efficiency of the RFID network system by using Manchester encoding
Publish place: Third International Conference on New Approaches in Science, Engineering and Technology
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 577
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
NSOECE03_051
تاریخ نمایه سازی: 28 اسفند 1394
Abstract:
RFID networks represent a system that uses radio waves to transmit information. This network plays a key role in a wide range of applications such as traffic control, transportation, military and medical use. In such networks, data collision is inevitable. The thing that made it difficult and seriously affected the desire to progress in the field of practical applications of radio networks is the problem of collision. Collision as a key problem in the RFID system, can waste energy consumption and bandwidth and leading to an increasing the time requirement for the process of tags identification.In this article, we review some adversaries to consider anti-collision algorithm first of all, and then present a method that use Manchester encoding to reduce collision, which aims to increase the system efficiency, reducing the amount of energy consumption and collision. Finally, evaluate of the proposed algorithm in system efficiency parameters such as the number of collision. The result of the coparison shows that the performance of the proposed algorithm will reduce energy consumption and increase the system efficiency
Keywords:
Authors
Fahimeh Afkhamnia
Islamic Azad University of Isfahan, Khorasgan
Mohammad Reza Sulatan Aghaei
Islamic Azad University of Isfahan, Khorasgan
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :