Introduction of An Anti-Collision Protocol in RFID Systems

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The ability to easily and quickly access information through radio frequency identification (RFID) systems has led to the ever-expanding use of this technology in a variety of usages such as tactical applications. This technology provides the conditions for better situational awareness in tactical environments or logistics. But, on the other hand, the process of identification in a scenario with different and numerous actors, faces the collision challenge. The collision of tags in RFID systems is inevitable, and it affects the performance of RFID systems, especially in environments with a large number of tags. In this report, a hybrid (of ALOHA and tree-based) anti-collision protocol is proposed. In the provided protocol, each frame and slot have prefixes, and in each slot, tags whose identities match the prefixes of the frame and the slot, send their responses to the reader. In this protocol, using the Manchester Coding method, the position of the collision bits is specified, and then collision tags are split into separate subgroups to reduce the collision rate in the identification process. The simulation results of this protocol indicate that compared to other benchmark protocols, the identification time and the bit number of transferred tags in the proposed method are lower, which improve its performance.

Language:
Persian
Published:
Journal of Electronic and Cyber Defense, Volume:8 Issue: 4, 2021
Pages:
119 to 128
magiran.com/p2230213  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!