CRN中改进的数据采集算法  

Improved data gathering algorithm in cognitive radio networks

作　　者：李贞双[1] 张健康[2] 

机构地区：[1]南阳师范学院计算机与信息技术学院,河南南阳473061 [2]郑州大学信息工程学院,河南郑州450001

出　　处：《计算机工程与设计》2015年第8期2045-2052,2119,共9页Computer Engineering and Design

摘　　要：研究认知无线电网络的分布式数据采集问题,讨论SU用户的合适载波侦听范围(PCR),提出一种兼顾公平性的异步分布式数据采集算法(ADDC)。ADDC算法以分布式策略把快照数据收集到基站,没有任何时间同步要求,与集中式和同步式算法相比,可拓展性和实用性更强。理论分析结果表明,只要SU用户访问频谱的概率为正,ADDC在延时和容量方面的性能便为阶数最优;仿真结果表明,ADDC的数据采集效率更高,数据采集延时更低。The distributed data collection problem for CRNs is researched. The proper carrier-sensing range （PCR） for SUs was discussed, and an asynchronous distributed data collection （ADDC） algorithm with fairness consideration of CRNs was proposed. Data of a snapshot were collected to the base station in a distributed manner without any time synchronization requirement. The algorithm is scalable and more practical compared with centralized algorithm and synchronized one. Theoretical analysis verifies that ADDC is order-optimal in terms of delay and capacity, as long as a SU has positive probability to access the spectrum. Extensive simulation results indicate that ADBC can effectively finish a data collection task and significantly reduce data collection delay.

关 键 词：认知无线电网络 数据采集 分布式算法 异步无线网络 延时 容量 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]