naa a22 4500 510798802 CHVBK 20180411083346.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11277-013-1070-7 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1070-7 Enhancement of Redundant Reader Elimination by Using Hybrid Algorithm in RFID Systems [Elektronische Daten] [Wafaa Alsalihy, Naeem Askar] In this paper, we propose ahybridalgorithm, the LE algorithm, which combines Layered Optimization Approach Algorithm (LEO) and an efficient algorithm (termed "Efficient” in this paper) to achieve an optimum number of readers, based on tag ID, and a weight associated with the reader's neighbor and coverage. In the LE algorithm, the number of readers and number of tags are distributed randomly among different working areas while retaining the same environment as in both LEO and Efficient algorithms. LE performance was evaluated in two setups and by applying statistical analysis also. The first setup ensured that LE operated in an environment similar to that of LEO and Efficient, whereas the second setup evaluated the performance of the LE algorithm in terms of different coverage areas, variant number of readers, and tags.This paper also considers the hybrid Efficient-LEO (EL) algorithm to study the suitability of hybridism. Experimental results confirmed the effectiveness of the hybrid LEO-Efficient algorithm, as well as the statistical analysis indicated a strong and significant difference in the direction of LE algorithm. Springer Science+Business Media New York, 2013 RFID nationallicence Redundant readers nationallicence LEO nationallicence Efficient algorithms nationallicence Alsalihy Wafaa School of Computer Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia aut Askar Naeem School of Computer Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia aut Wireless Personal Communications Springer US; http://www.springer-ny.com 72/2(2013-09-01), 1139-1156 0929-6212 72:2<1139 2013 72 11277 https://doi.org/10.1007/s11277-013-1070-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1070-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Alsalihy Wafaa School of Computer Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia aut NATIONALLICENCE 700 1- Askar Naeem School of Computer Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 72/2(2013-09-01), 1139-1156 0929-6212 72:2<1139 2013 72 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer