Estimation of RFID Tag Population Size by Gaussian Estimator

In this paper we propose a novel approach to estimating RFID tag population size. Unlike all previous {0, 1} estimation schemes, we analysed our scheme under {0, 1, e} and presented results under both {0, 1} and {0, 1, e} channel models. Under both the channel models we used a well justified Gaussian estimator for estimation. We have named our algorithm ”Gaussian Estimation of RFID Tags,” namely, GERT. The most prominent feature of GERT is the quality with which it estimates a tag population size. We supported all the required approximations with detailed analytical work and counted for all the approximation errors when we considered the overall quality of the estimation. GERT is shown to be more cost effective than the previous methods suggested so far, under the same performance constraints.