{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T18:48:15Z","timestamp":1771699695132,"version":"3.50.1"},"reference-count":19,"publisher":"Institution of Engineering and Technology (IET)","issue":"10","license":[{"start":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T00:00:00Z","timestamp":1626825600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["ietresearch.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["IET Communications"],"published-print":{"date-parts":[[2022,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>In recent years, the rapid development of the Internet of Things (IoT) technology has provided a strong technical support for the technological transformation of the logistics industry. The informatization development of logistics industry increasingly relies on the Internet of Things technology represented by Radio Frequency Identification (RFID) technology. These technologies lead the whole business process to optimize the business process in the direction of accurate, efficient and real\u2010time. In order to solve the problem that the reader cannot identify the label information correctly due to the phenomenon of data collision in the application of RFID technology, this paper proposes an anti\u2010collision algorithm based on Slotted Random Regressive\u2010style Binary Search Tree (SR\u2010RBST). Based on Slotted ALOHA (SA) the method proposed in this paper uses the Regressive\u2010style Binary Search Tree (RBST) to process the RFID labels in the collision time slot. With the same size of tags, the SR\u2010RBST algorithm needs less total time slot and has higher efficiency and shorter identification time, while with the increase of the number of tags, the SR\u2010RBST anti\u2010collision algorithm has more obvious advantages. The SR\u2010RBST algorithm effectively improves the time slot utilization efficiency of the system.<\/jats:p>","DOI":"10.1049\/cmu2.12247","type":"journal-article","created":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T05:02:31Z","timestamp":1626843751000},"page":"1200-1208","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Anti\u2010collision algorithm based on slotted random regressive\u2010style binary search tree in RFID technology"],"prefix":"10.1049","volume":"16","author":[{"given":"Yibo","family":"Ai","sequence":"first","affiliation":[{"name":"National Center for Materials Service Safety University of Science and Technology Beijing  No. 12 Kunlun Road Beijing Beijing 100083 China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)  Zhuhai 519080 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianrui","family":"Bai","sequence":"additional","affiliation":[{"name":"National Center for Materials Service Safety University of Science and Technology Beijing  No. 12 Kunlun Road Beijing Beijing 100083 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Xu","sequence":"additional","affiliation":[{"name":"National Center for Materials Service Safety University of Science and Technology Beijing  No. 12 Kunlun Road Beijing Beijing 100083 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weidong","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Center for Materials Service Safety University of Science and Technology Beijing  No. 12 Kunlun Road Beijing Beijing 100083 China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)  Zhuhai 519080 China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"265","published-online":{"date-parts":[[2021,7,21]]},"reference":[{"issue":"99","key":"e_1_2_7_2_1","first-page":"1","article-title":"Collaborative learning\u2010based industrial IoT API recommendation for software\u2010defined devices: The implicit knowledge discovery perspective","author":"Gao H.","year":"2020","journal-title":"IEEE Trans. Emerging Top. Comput. Intell."},{"issue":"006","key":"e_1_2_7_3_1","first-page":"102","article-title":"Long\u2010distance RFID system based on passive transponders","volume":"044","author":"Li\u2010li P.","year":"2011","journal-title":"Commun. Technol."},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.12.039"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.2112\/SI103-156.1"},{"key":"e_1_2_7_6_1","article-title":"Research on hybrid of ALOHA and multi\u2010fork tree Anti\u2010collision algorithm for RFID","volume":"183","author":"Wz A.","year":"2021","journal-title":"Procedia Comput. Sci."},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2010.120710.100054"},{"key":"e_1_2_7_8_1","doi-asserted-by":"crossref","unstructured":"Vazquez\u2010Gallego F.et\u00a0al.:Reservation dynamic frame slotted\u2010ALOHA for wireless M2M networks with energy harvesting. 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