Title :
A new mechanism for RFID clustering and identification
Author :
Ouakasse, Fathia ; Rakrak, Said
Author_Institution :
Appl. Math. & Comput. Sci. Lab., Cadi Ayyad Univ., Marrekesh, Morocco
Abstract :
Everyday objects are generating a large amount of data that should be stored in the memories of their chips and communicated to a reader. One of the most important technologies used in the internet of things is RFID Radio Frequency Identification. However, the avoidance of collision of tags during the identification process represents a great challenge, especially when the number of tags is too large. Thus we will need to use methods to group tags into small groups. In this sense several methods have been proposed to resolve this problem. In this paper we propose a new mechanism, based on Progressive Scanning Algorithm, to group tags in the interrogation zone of a reader. The proposed mechanism consists in the deployment of two readers having the same interrogation zone. This mechanism allows increasing the efficiency of the identification process by reducing the time needed to identify all tags.
Keywords :
Internet of Things; radiofrequency identification; telecommunication congestion control; RFID clustering; RFID radio frequency identification; collision avoidance; group tags; internet of things; progressive scanning algorithm; Delays; Ferroelectric films; Heuristic algorithms; Nonvolatile memory; Radiofrequency identification; Random access memory; Throughput; ALOHA based algorithms; RFID; clustering; tags identification;
Conference_Titel :
Codes, Cryptography and Communication Systems (WCCCS), 2014 5th Workshop on
Print_ISBN :
978-1-4799-7053-7
DOI :
10.1109/WCCCS.2014.7107911