Abstract
Radio Frequency Identification (RFID) has been rapidly developing for recent years as a kind of near field wireless communication technology depending on radio frequence signal. Now there are widespread researches and applications about RFID. To make the distribution of tags’ position rational and efficient, it is significant to obtain the signal strength model around reader. This paper uses neural network method to model the RFID reflected signal strength distribution. To achieve a satisfied solution, a continuous Ant Colony Optimization algorithm that can overcome the defect of BP algorithm is combined with neural network. We discuss the mechanism of algorithm in detail. The simulation and the actual experiment results are shown to prove the good performance of this method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
