Đang chuẩn bị liên kết để tải về tài liệu:
Báo cáo hóa học: " Research Article Performance-Effective and Low-Complexity Redundant Reader Detection in Wireless RFID Networks"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Performance-Effective and Low-Complexity Redundant Reader Detection in Wireless RFID Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2008 Article ID 604747 9 pages doi 10.1155 2008 604747 Research Article Performance-Effective and Low-Complexity Redundant Reader Detection in Wireless RFID Networks Ching-Hsien Hsu 1 Yi-Min Chen 1 and Heau-Jo Kang2 1 Department of Computer Science and Information Engineering Chung Hua University Hsinchu 300 Taiwan 2 Division of Computer Engineering Mokwon University Daejeon 302-318 South Korea Correspondence should be addressed to Ching-Hsien Hsu robertchh@gmail.com Received 2 January 2008 Accepted 13 April 2008 Recommended by Jong Hyuk Park The problems of redundant RFID reader detection and coverage have instigated researchers to propose different optimization heuristics due to the rapid advance of technologies in large-scale RFID systems. In this paper we present a layered elimination optimization LEO which is an algorithm-independent technique aims to detect maximum amount of redundant readers that could be safely removed or turned off with preserving original RFID network coverage. A significant improvement of the LEO scheme is that amount of write-to-tag operations could be largely reduced during the redundant reader identification phase. Moreover LEO is a distributed approach which does not need to collect global information for centralizing control leading to no communications or synchronizations among RFID readers. To evaluate the performance of the proposed techniques we have implemented the LEO technique along with other methods. Both theoretical analysis and experimental results show that the LEO is reliable effective and efficient. The proposed techniques can provide reliable performance with detecting higher redundancy and has lower algorithm overheads. Copyright 2008 Ching-Hsien Hsu et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium .