Bet365 Online Live Dealer title: RFID high-efficiency tag identification protocol based on hash function
Bet365 Online Live Dealer time: 9:00 am on April 23, 2019
Reporting location: Conference Room 308, Computer Building, School Headquarters
Reporter: Dr. Xie Xin
Abstract:
With the development and maturity of RFID technology，More and more RFID tags are affixed to daily items to track and monitor items。Identify these tags，Can help suppliers and retailers understand real-time inventory information、Develop corresponding production and sales strategies，To prevent economic losses caused by shortages and product overstock。Because the RFID transmission rate is low and tag conflicts are serious，In large-scale systems，The delay in tag recognition is usually longer。This Bet365 Online Live Dealer introduces our research work in the field of RFID tag identification in recent years，Mainly through two efforts to reduce the delay of tag recognition。On the one hand，Use the hash function to predict the time slot selected by the tag，And skip useless time slots to improve channel utilization；On the other hand，Utilize lightweight tag filtering technology，Filter and troubleshoot target tags according to the specific needs of the application，Reduced channel occupation by non-target tags。We mainly evaluate the performance of the protocol through theoretical analysis and simulated protocol operation process。
Personal profile: Graduated from Dalian University of Bet365 Online Live Dealer in 2013, majoring in computer science and Bet365 Online Live Dealer。Currently studying for a PhD in Computer Science at Dalian University of Bet365 Online Live Dealer。Worked at the Hong Kong Polytechnic University during my Ph.D.、Engaged in research at Purdue University, USA。His main research areas are: RFID data transmission protocol、Location tracking and pattern recognition based on mobile devices。
Bet365 Online Live Dealer part-time job: IEEE Sensor Journal，Elsevier Ad Hoc Networks，Elsevier JNCA etc.
