EERSFS:高能效的混杂RFID数据冗余过滤方法

EERSFS:an energy efficient hybrid-RFID data filtering method

为克服无线传感技术和射频识别(RFID)技术在物联网中应用上的缺陷,针对由无线传感和RFID结合所形成的混杂RFID网络,引入簇的概念,提出了一种基于簇结构的高能效的射频识别和传感数据过滤模型(EERSFS),此模型通过冗余的分层定义,使冗余数据在冗余源附近得到过滤处理。实验证明,该过滤方法能有效降低网络中的冗余数据量和网络节点的能量消耗,延长无线传感网络的寿命。

To improve the applications of the wireless sensing and radio frequency identification（RFID） in the Internet of things,the concept of cluster was introduced into the hybrid RFID network formed by the combination of wireless sensing and RFID, and an energy-efficient RFID and sensor data filtering scheme （EERSFS）for the hybrid RFID network was put forward. The EERSFS defines the redundancy hierarchically, and makes redundant data filtered near by the redundant sources. The results of the simulation experiments show that the proposed method can reduce the amount of redundant data and the energy consumption in the network, and prolong the life cycle of wireless sen- sor networks.