As the adoption of the radio-frequency identification (RFID) technology is increasing, many applications require a\r\ndense reader deployment. In such environments, reader-to-reader interference becomes a critical problem, so the\r\nproposal of effective anti-collision algorithms and their analysis are particularly important. Existing reader-to-reader\r\nanti-collision algorithms are typically analyzed using single interference models that consider only direct collisions.\r\nThe additive interference models, which consider the sum of interferences, are more accurate but require more\r\ncomputational effort. The goal of this paper is to find the difference in accuracy between single and additive\r\ninterference models and how many interference components should be considered in additive models. An in-depth\r\nanalysis evaluates to which extent the number of the additive components in a possible collision affects the accuracy\r\nof collision detection. The results of the investigation shows that an analysis limited to direct collisions cannot reach a\r\nsatisfactory accuracy, but the collisions generated by the addition of the interferences from a large number of readers\r\ndo not affect significantly the detection of RFID reader-to-reader collisions.
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