Abstract
In order to further improve identification efficiency of tag anti-collision algorithm in RFID system, we analyze the performance of the frame-slot ALOHA anti-collision algorithm, apply the idea of grouping in binary search algorithm to frame-slot ALOHA anti-collision algorithm, and on this basis, we propose an improved anti-collision algorithm to identify the collided tags in time slots quickly and correctly. The simulation results show that, the improved algorithm does improve the anti-collision performance, reduce the throughput of data, and improve the tag identification efficiency in RFID system.
| Original language | English |
|---|---|
| Title of host publication | 2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010 |
| Pages | 337-340 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010 - Shenzhen, China Duration: 17 Apr 2010 → 18 Apr 2010 |
Publication series
| Name | 2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010 |
|---|---|
| Volume | 1 |
Conference
| Conference | 2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010 |
|---|---|
| Country/Territory | China |
| City | Shenzhen |
| Period | 17/04/10 → 18/04/10 |
Keywords
- Binary search
- Frame-slot ALOHA
- RFID
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Feng, S., Gao, F., Xue, Y., & Li, H. (2010). An improved frame-slot ALOHA anti-collision algorithm. In 2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010 (pp. 337-340). Article 5496566 (2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010; Vol. 1). https://doi.org/10.1109/EDT.2010.5496566