Title: Adapted RFID anti-collision algorithm and its application in sharing economy

Authors: Yishu Qiu; Jinsheng Lu; Lvqin Yang; Yezi Xu

Addresses: Research Centre on Things Internet Technology, Xiamen University, Xiamen 361005, China ' Research Centre on Things Internet Technology, Xiamen University, Xiamen 361005, China ' Software School, Xiamen University, Xiamen 361005, China ' Research Centre on Things Internet Technology, Xiamen University, Xiamen 361005, China

Abstract: 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.

Keywords: radio frequency identification; RFID; sharing economy; internet of things; IoT.

DOI: 10.1504/IJIEM.2020.104934

International Journal of Internet and Enterprise Management, 2020 Vol.9 No.3, pp.248 - 260

Received: 03 Jul 2018
Accepted: 20 Dec 2018
Published online: 07 Feb 2020 *

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