RFID estimation—design and optimization
The key technical novelty of this chapter is in proposing the new estimator, the average run size of 1s, for estimating RFID tag population size of arbitrarily large sizes. Using analytical plots, we show that our estimator has much smaller variance compared to other estimators including those used in prior work. It is this smaller variance that makes our scheme faster than the previous ones. The key technical depth of this chapter is in the mathematical development of the estimation theory using this estimator. ART can estimate arbitrarily large tag populations with arbitrarily high accuracy. It works with single as well as multiple readers. Our experimental results show that ART is significantly faster than all prior RFID estimation schemes. We have shown, both theoretically and experimentally, that the estimation time of ART is independent of the tag population size.
RFID estimation—design and optimization, Page 1 of 2
< Previous page Next page > /docserver/preview/fulltext/books/ce/pbce112e/PBCE112E_ch3-1.gif /docserver/preview/fulltext/books/ce/pbce112e/PBCE112E_ch3-2.gif