基于ALOHA的随机性算法是解决标签碰撞的常用方法,在分析这类方法的基础上,提出了一种基于倍乘因子和分组思想的优化方法。改进算法实现简单,且大量的统计及仿真数据表明,该算法取得了稳定的高系统效率,缩短了标签的识别时间。
ALOHA-based stochastic algorithm is one of the most frequently-used approaches in solving tags collision. Based on the introduction of these kinds of anti-collision algorithm, this paper proposed an optimal algorithm which based on multiple factor and grouping. The advanced algorithm is easy to achieve. Simulation and statistic indicates that this new algorithm can get high and steady system efficiency and shorten the tags identification time.