一种基于压缩感知的双粒度连接准入控制策略

为提高数据传输效率，通常对数据进行压缩处理，传统准入控制机制没有考虑数据压缩情况，以连接阻塞（中断）率度量性能。提出一种基于压缩感知的双粒度多门限准入控制策略，通过压缩感知，从连接级和原始信息级两种粒度进行准入控制，采用门限控制机制。同时提出原始信息损失率和原始信息传输效率两种新的准入控制性能标准。理论分析与仿真表明，原始信息损失和原始信息传输效率能较好度量准入控制的性能，压缩感知的准入控制机制具有明显的性能增益。

Double-granularity connection admission control scheme based on compression sensing

Data compressing techniques are often adopted in practical network systems to improve the efficiency of traffic transmission. However, compression status is ignored in most admission control schemes that usually measure the performance in term of blocking (dropping) probability. In this paper, a Double Granularity Multiple Threshold (DGMT) CAC scheme based on compression sensing was proposed. By sensing compressing levels of arrival connections, DGMT scheme controlled connection admission in granularities of both connection and original information. Multiple thresholds strategy was used in DGMT. Alternatively, Original Information Loss Ratio (OILR) and Transmission Efficiency of Original Information (TEoOI) were presented to measure CAC performances. Theoretical analysis and simulation results show that OILR and TEoOI can well indicate CAC performances, and the performance obtained by compression sensing CAC algorithm improves significantly.