无线电环境地图的冗余感知数据删除技术研究

移动群智感知(mobile crowd sensing,MCS)技术在无线电环境地图(radio environment map,REM)的数据收集系统中优势明显,具有良好的应用前景.但由于移动群智感知的时空相关性特点,感知数据中存在大量的冗余,造成了数据存储效率低与传输带宽消耗大的问题.针对此问题,提出一种基于感知数据综合差异度的无线电环境地图冗余数据删除技术.该技术通过计算感知数据之间的综合差异度,实现对无线电环境地图系统中感知数据的冗余检测与删除.为了验证所提技术的有效性,通过实验将该技术与传统的重复数据删除技术进行比较.实验结果表明,与传统的重复数据删除技术相比,所提出的技术在保证数据完整性的前提下,极大地提高了系统的存储效率,降低了数据传输过程中网络带宽的消耗.

Redundant sensed data deletion technology of radio environment map

Mobile crowd sensing (MCS) has good application prospects in the data collection system of radio environment map (REM) due to its obvious advantages. However, due to the temporal and spatial correlation characteristics of mobile crowd sensing, there is a lot of redundancy in the sensed data, which results in low efficiency of data storage and large consumption of transmission bandwidth. To deal with the problem, a redundancy data deletion technology for REM based on the synthesized difference degree of sensed data is proposed. The synthesized difference degree of sensed data is calculated in proposed technology for redundancy check and deletion in REM. To demonstrate the validity of the proposed technology in this paper, we conducted experiments compared with the existing data deduplication technology. The experiment results show that compared with the existing data deduplication technology, the proposed technology significantly improves the storage efficiency and reduces the bandwidth consumption while maintaining the data integrity.