Computational radio frequency identification can be successfully employed in a range of applications. The efficient data dissemination is a building block for useful functions such as parameter configuration, code debug fixing, and wireless reprogramming. Many recent data dissemination protocols have adopted transmission methods from a reader to a single tag following EPC C1G2. Even if the same data need to be transmitted to multiple tags, they can only be distributed individually; however, tags in the reader antenna coverage area can hear commands from the reader, which motivates us to pursue a multicast data dissemination scheme that is compatible with the existing protocol. In this paper, we propose Lama, an efficient multicast data dissemination protocol that considers tag link characteristics (link quality and charging efficiency). This method improves the efficiency of data dissemination by selecting an appropriate master tag. Experiments based on a commercial reader demonstrate that Lama reduces the dissemination delay compared with state-of-the-art protocols.

计算射频识别可以成功地用于一系列应用中。高效的数据分发是一些有用功能（例如，参数配置，代码调试修复和无线重新编程）的基础。EPC C1G2之后，许多最近的数据分发协议都采用了从阅读器到单个标签的传输方法。即使需要将相同的数据传输到多个标签，也只能将它们单独分发；但是，阅读器天线覆盖区域中的标签可以听到来自阅读器的命令，这促使我们追求与现有协议兼容的多播数据分发方案。在本文中，我们提出了一种Lama，一种有效的多播数据分发协议，该协议考虑了标签链接特征（链接质量和计费效率）。通过选择适当的主标签，此方法提高了数据分发的效率。基于商业读者的实验表明，与最新协议相比，Lama减少了传播延迟。