OSL: An optimization-based scheduler for RFID Dense-Reader Environments
In RFID, readers operating concurrently may interfere mutually up to distances in the order of hundreds of meters due to the extremely low power of the tag backscattered signal, causing reader-to-reader collisions. To solve this problem readers must transmit either at different times or in different...
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Published in: | Ad hoc networks Vol. 37; pp. 512 - 525 |
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01-02-2016
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Abstract | In RFID, readers operating concurrently may interfere mutually up to distances in the order of hundreds of meters due to the extremely low power of the tag backscattered signal, causing reader-to-reader collisions. To solve this problem readers must transmit either at different times or in different channels, coordinated by means of a distributed or centralized algorithm. Centralized algorithms (schedulers) achieve the best efficiency, but current state-of-the-art proposals are still hampered by reader-to-reader collisions and idle channel phenomena, reducing performance. In this work we propose a new scheduler designed to eliminate both of these problems and to maximize throughput (number of identifications per time unit). Unlike previous schedulers, our scheduler is fed with information about the load (number of competing tags per reader) to properly compute throughput, which is expressed as a closed-form formula. At the beginning of each scheduling period our scheduler decides the channel and slots to be assigned to each reader by maximizing (with respect to these variables) the expected throughput using a simulated annealing solver. Results show that these solutions outperform state-of-the-art proposals. |
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AbstractList | In RFID, readers operating concurrently may interfere mutually up to distances in the order of hundreds of meters due to the extremely low power of the tag backscattered signal, causing reader-to-reader collisions. To solve this problem readers must transmit either at different times or in different channels, coordinated by means of a distributed or centralized algorithm. Centralized algorithms (schedulers) achieve the best efficiency, but current state-of-the-art proposals are still hampered by reader-to-reader collisions and idle channel phenomena, reducing performance. In this work we propose a new scheduler designed to eliminate both of these problems and to maximize throughput (number of identifications per time unit). Unlike previous schedulers, our scheduler is fed with information about the load (number of competing tags per reader) to properly compute throughput, which is expressed as a closed-form formula. At the beginning of each scheduling period our scheduler decides the channel and slots to be assigned to each reader by maximizing (with respect to these variables) the expected throughput using a simulated annealing solver. Results show that these solutions outperform state-of-the-art proposals. |
Author | Vales-Alonso, J. Alcaraz, J.J. Parrado-García, F.J. |
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CitedBy_id | crossref_primary_10_1016_j_micpro_2021_104388 crossref_primary_10_1007_s10916_020_01647_x crossref_primary_10_1109_ACCESS_2019_2945396 crossref_primary_10_1080_03772063_2018_1537815 crossref_primary_10_1007_s12652_019_01221_5 crossref_primary_10_1080_23311916_2020_1763887 |
Cites_doi | 10.1016/j.jnca.2014.11.006 10.1016/j.jnca.2010.04.007 10.1109/TII.2012.2205390 10.1016/S0025-5564(03)00037-3 10.1109/TASE.2012.2218101 10.1109/TWC.2011.030411.100390 10.1109/TPDS.2013.99 10.1109/TII.2011.2176742 10.1109/TWC.2010.04.090066 10.1109/TII.2011.2158831 10.1109/TII.2014.2310952 10.1016/j.adhoc.2012.02.016 10.1186/1687-3963-2013-11 10.1016/j.simpat.2012.07.006 10.1109/JSAC.2004.830898 10.1109/TIE.2009.2021869 10.1016/j.jfranklin.2013.08.008 10.1109/TPDS.2012.208 10.1016/j.adhoc.2013.05.007 10.1016/j.adhoc.2007.02.016 |
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Copyright | 2015 Elsevier B.V. |
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