Adaptive and Probabilistic Power Control Algorithms for Dense RFID Reader Network

Kainan Cha
Anil Ramachandran
Jagannathan Sarangapani, Missouri University of Science and Technology

This document has been relocated to http://scholarsmine.mst.edu/ele_comeng_facwork/840

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Abstract

In radio frequency identification (RFID) systems, the detection range and read rates may suffer from interferences between high power devices such as readers. In dense networks, this problem grows severely and degrades system performance. In this paper, we investigate feasible power control schemes to ensure overall coverage area of the system while maintaining a desired data rate. The power control should dynamically adjust the output power of a RFID reader by adapting to the noise level seen during tag reading and acceptable signal-to-noise ratio (SNR). We present a novel distributed adaptive power control (DAPC) and probabilistic power control (PPC) as two possible solutions. This paper discusses the methodology and implementation of both algorithms analytically. Both DAPC and PPC scheme are simulated, compared and discussed for further work.