Mecanismo de controle de potência para estimativa de etiquetas em redes de identificação por rádio frequência
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Universidade Federal do Amazonas
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An RFID system is typically composed of a reader and a set of tags. An anti-collision algorithm is necessary to avoid collision between tags that respond simultaneously to a reader. The most widely used anti-collision algorithm is DFSA (Dynamic Framed Slotted ALOHA) due to its simplicity and low computational cost. In DFSA algorithms, the optimal TDMA (Time Division Multiple Access) frame size must be equal to the number of unread tags. If the exact number of tags is unknown, the DFSA algorithm needs a tag estimator to get closer to the optimal performance. Currently, applications have required the identification of large numbers of tags, which causes an increase in collisions and hence the degradation in performance of the traditional algorithms DFSA. This work proposes a power control mechanism to estimate the number of tags for radio frequency identification networks (RFID). The mechanism divides the interrogation zone into subgroups of tags and then RSSI (Received Signal Strength Indicator) measurements estimate the number of tags in a subarea. The mechanism is simulated and evaluated using a simulator developed in C/C++ language. In this study, we compare the number of slots and identification time, with ideal DFSA algorithm and Q algorithm EPCglobal standard. Simulation results shows the proposed mechanism provides 99% performance of ideal DFSA in dense networks, where there are many tags. Regarding the Q algorithm, we can see the improvement in performance of 6.5%. It is also important to highlight the lower energy consumption of the reader comparing to ideal DFSA is 63%.
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Redes de Computadores, DFSA (Dynamic Framed Slotted ALOHA), Algoritmos Anticolisão, RSSI (Received Signal Strength Indicator), Redes de identificação por rádio frequência (RFID), Computer Networks, Anti-collision algorithms, Power control
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LUCENA FILHO, Walfredo da Costa. Mecanismo de controle de potência para estimativa de etiquetas em redes de identificação por rádio frequência. 2015. 58 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal do Amazonas, Manaus, 2015.