- 4.2Impact Factor
- 7.5CiteScore
- 17 daysTime to First Decision
Computers, Volume 11, Issue 7
July 2022 - 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
- Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
- You may sign up for email alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Articles
There are no articles in this issue yet.
Get Alerted
Add your email address to receive forthcoming issues of this journal.
Computers - ISSN 2073-431XCreative Common CC BY license