| Autor: |
Qiu, Yishu, Lu, Jinsheng, Yang, Lvqin, Xu, Yezi |
| Zdroj: |
International Journal of Internet and Enterprise Management; 2020, Vol. 9 Issue: 3 p248-260, 13p |
| Abstrakt: |
In recent years, the sharing economy has developed vigorously, and the internet of things (IoT) technology is an important technology to realise the sharing economy. As an automatic identification technology, radio frequency identification (RFID) technology is the key technology to build the internet of things and an essential part of the sharing economy. In order to solve the collision problem of tags identification, an improved grouping adaptive query tree algorithm (IGAQT) is proposed in this paper. Compared to the most of existing anti-collision algorithms, simulation results show that our proposed algorithm can achieve better performance in terms of time complexity and communication overload. And the algorithm is applied to the actual case of sharing economy. |
| Databáze: |
Supplemental Index |
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