Adaptive Channel Assignment With Predictions of Sensor Results and Channel Occupancy Ratio in PhyC-SN

Adaptive Channel Assignment With Predictions of Sensor Results and Channel Occupancy Ratio in PhyC-SN
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预测 PhyC-SN 中传感器结果和通道占用率的自适应通道分配

DOI:
10.1109/access.2019.2909525
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发表时间:
2019
期刊:
影响因子:
3.9
通讯作者:
Ohta Mai
Ohta Mai
中科院分区:
计算机科学3区
文献类型:
--
作者:
Takyu Osamu;Shirai Keiichiro;Fujii Takeo;Ohta Mai

文献摘要

相似文献

与物联网相关的应用广泛多样,需要低延迟和大量传感器接入无线传感器网络。在物理无线参数转换传感器网络(PhyC-SN)中,融合中心(FC)通过将传感器信息转换为信号频率,可以在接收信号的频谱上识别来自所有传感器的信息。PhyC-SN的传感器信息的更高分辨率要求确保更多的频率带宽。因此,PhyC-SN和其他系统之间的频谱共享是必不可少的。对于这项研究,我们假设主要系统(PS)是指其他无线系统和辅助系统(SS)是指的PhyC-SN。SS检测到来自PS的任何访问,并立即停止对FC的访问。这导致传感器信息的丢失。因此,FC收集的传感器信息的精度降低。本文提出了一种基于两个预测的自适应信道分配:传感器信息和信道占用率。在所提出的方法中,预测的信道访问的停止所造成的误差进行计算,并通过最小化此预测误差的分配构造。由于传感器可以根据瞬时传感器结果的误差来选择信道,因此所提出的信道分配可以利用对瞬时传感器结果的感知。所提出的方法实现了收集的传感器信息的高准确性,同时将不频繁的传感器信息传递到FC,从而提高频率信道的利用效率。
Applications related to the Internet of Things are widely diversified and require both low latency and the access of massive sensors to wireless sensor networks. In physical wireless parameter conversion sensor networks (PhyC-SN), a fusion center (FC) can recognize information from all sensors on the frequency spectrum of the received signals via conversion from sensor information to signal frequency. The higher resolution of sensor information of PhyC-SNs requires securing more frequency bandwidth. Therefore, spectrum sharing between PhyC-SNs and other systems is essential. For this study, we assume that primary systems (PSs) refer to other wireless systems and that secondary systems (SSs) refer to the PhyC-SN. The SS detects any access from the PS and immediately stops access to an FC. This results in a loss of sensor information. Thus, the accuracy of the gathered sensor information by an FC is degraded. This paper proposes an adaptive channel assignment based on two predictions; sensor information and channel occupancy rate. In the proposed method, the predicted error caused by the cessation of channel access is calculated and the assignment is constructed by minimizing this predicted error. Since the sensor can select channels in accordance with the error of an instantaneous sensor result, the proposed channel assignment can utilize awareness of the instantaneous sensor result. The proposed method achieves high accuracy of gathered sensor information while delivering less frequent sensor information to the FC, thereby improving the utilization efficiency of frequency channels.