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Sensors 2016, 16(11), 1924; doi:10.3390/s16111924

Geometric Distribution-Based Readers Scheduling Optimization Algorithm Using Artificial Immune System

1
College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China
2
Department of Mathematics and Computer Science, Virginia Wesleyan College, Norfolk, VA 23502, USA
3
College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China
*
Author to whom correspondence should be addressed.
Academic Editor: Yu Wang
Received: 31 August 2016 / Revised: 8 November 2016 / Accepted: 12 November 2016 / Published: 16 November 2016
View Full-Text   |   Download PDF [2664 KB, uploaded 16 November 2016]   |  

Abstract

In the multiple-reader environment (MRE) of radio frequency identification (RFID) system, multiple readers are often scheduled to interrogate the randomized tags via operating at different time slots or frequency channels to decrease the signal interferences. Based on this, a Geometric Distribution-based Multiple-reader Scheduling Optimization Algorithm using Artificial Immune System (GD-MRSOA-AIS) is proposed to fairly and optimally schedule the readers operating from the viewpoint of resource allocations. GD-MRSOA-AIS is composed of two parts, where a geometric distribution function combined with the fairness consideration is first introduced to generate the feasible scheduling schemes for reader operation. After that, artificial immune system (including immune clone, immune mutation and immune suppression) quickly optimize these feasible ones as the optimal scheduling scheme to ensure that readers are fairly operating with larger effective interrogation range and lower interferences. Compared with the state-of-the-art algorithm, the simulation results indicate that GD-MRSOA-AIS could efficiently schedules the multiple readers operating with a fairer resource allocation scheme, performing in larger effective interrogation range. View Full-Text
Keywords: multiple-reader environment; multiple-reader interference; geometric distribution probability function; optimization by artificial immune system multiple-reader environment; multiple-reader interference; geometric distribution probability function; optimization by artificial immune system
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Duan, L.; Wang, Z.J.; Duan, F. Geometric Distribution-Based Readers Scheduling Optimization Algorithm Using Artificial Immune System. Sensors 2016, 16, 1924.

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