An improved dynamic adaptive multi-tree search anti-collision algorithm based on RFID

DSAA(2014)

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摘要
In this letter, we present a dynamic adaptive multi-tree search (DAMS) algorithm which is an improvement of a multi-tree search algorithm (AMS). In order to reduce collisions, the multi-tree search algorithm adjusts the search tree through collision factor (CF). The proposed algorithm puts forward a new CF critical value and stipulates that the length of EPC which tags replied dynamically. The simulation results show that the DAMS search timeslots decrease about 20% than AMS, meanwhile DAMS reduces 70% transmission data than AMS.
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关键词
multi-tree search,collision factor,dams,tree searching,cf,encoding,anti-collision,radiofrequency identification,search tree,rfid,dynamic adaptive multitree search anticollision algorithm,dynamic,algorithm design and analysis,binary trees
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