RFID-based detection system objects in IoT.pdf
Abstract
RFID (radio frequency identification) is an important technology which is used to detect and identify objects. Considering that in the near future (and even today) all real things can connect with each other over the internet, so one of the significant prerequisites in the combination model is unique identification over the internet. This paper, which will be done with the goal of integrations between RFID and IoT, and briefly cloud computing, introduce components and implementation idea for this model. In addition will present current issues and challenges for this convergence.
FAQs
AI
What are key challenges faced by RFID in IoT applications?
The paper identifies memory limitations, unreliable communication, and security vulnerabilities as key challenges affecting RFID performance in IoT applications, particularly issues like eavesdropping and spoofing.
How do RFID and WSN technologies integrate to enhance object tracking?
RFID technology, when used with wireless sensor networks, enhances object tracking by allowing real-time data transmission for performance evaluation, as seen in vehicle tracking systems.
What role does cloud computing play in RFID systems?
Cloud computing facilitates data management by allowing RFID readers to send data to cloud platforms, thus improving accessibility and reducing hardware costs.
How are sensor nodes classified in IoT systems?
Sensor nodes in IoT systems are classified into wired and wireless categories, offering advantages like reliability for wired sensors and flexibility for wireless ones.
What improvements does the hybrid RFID and WSN model provide?
The hybrid model improves sensing capabilities by combining RFID for identification and WSN for environmental monitoring, resulting in efficient data processing in smart environments, such as museums.
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