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Computers, Volume 11, Issue 7

2022 July - 16 articles

Cover Story: Many applications in the Internet of Things require a dense RFID network for efficient deployment and coverage, which causes interference between tags and readers and reduces the performance of the system. Therefore, communication resource management is required to avoid such problems. In this paper, we propose an anti‐collision protocol based on feed‐forward Artificial Neural Network methodology for distributed learning between RFID readers to predict collisions and ensure efficient resource allocation (DMLAR) by considering the mobility of tags and readers. The evaluation of our anti‐collision protocol is performed for healthcare where the collected data are critical and must respect the terms of throughput, delay, overload, integrity and energy. View this paper
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Computers - ISSN 2073-431X
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