基于增强加权质心定位辅助的认知物联网用户频谱接入控制

doi:10.11959/j.issn.2096-3750.2022.00312

摘要/Abstract

摘要： 在认知物联网（cognitive Internet of Things，CIoT）中，由于主用户（primary user, PU）与次级用户（secondary user, SU）之间的非合作特性，单独依靠传统的频谱感知技术来判断频谱接入机会存在一定的不可靠性。作为一种重要的辅助信息，PU与SU之间的相互位置信息可以协助判断授权频谱的二次接入可能性。本文提出了一种低复杂度的基于接收信号强度（received signal strength，RSS）测量与相邻关系判断策略的加权质心定位（neighbor-based weighted centroid localization，NB-WCL）算法，通过解决CIoT中SU的定位问题，从而实现对于CIoT中各个地理位置上的频谱接入使能标志决策。本文在理论层面分析了二维位置估计的均方根误差（root mean square error，RMSE）性能，通过仿真验证了通信半径、节点密集度、阴影影响、路径损失、连通性度量值以及发送数据次数等因素对于算法性能的影响。理论推导与实验结果表明，相对于传统的定位算法，所提方案为CIoT中的SU定位算法提供了更为强健和良好的定位误差性能，能够有效地增强认知物联网中用户频谱接入的可靠性。该方案可以作为认知物联网中的一种高效实用的定位感知方案。

关键词: 加权质心定位, 认知物联网, 相邻关系, 性能分析, 频谱接入

Abstract: In the cognitive Internet of Things (CIoT), due to the non-cooperative characteristics between the primary user (PU) and the secondary user (SU), it is unreliable to seek the spectrum access opportunity by merely relying on traditional spectrum sensing technology. As an important auxiliary information, the mutual location information between PU and SU can assist in determining the possibility of secondary access to the licensed frequency band (LFB). This paper proposes a low-complexity neighborhood-based weighted centroid localization (NB-WCL) algorithm based on received signal strength (RSS) measurement and the strategy of conforming neighbor relationship. By solving the SU’s localization problem in the CIoT, we can accurately set the LFB-access enabling flag for each SU in the CIoT. This paper also analyzes the root mean square root error (RMSE) performance of two-dimensional position estimation and verifies the impacts of factors such as communication radius, node density, shadowing influence, path loss exponent, connectivity metric, and the number of data transmitted on the algorithm performance in simulations. The theoretical derivation and experimental results show that the proposed scheme provides more robust and better localization error performance for the SU localization algorithm in CIoT than the traditional localization algorithm, which can effectively enhance the reliability of cognitive IoT for spectrum access. The proposed scheme can serve as a practically effective candidate solution in the CIoT.

Key words: weighted centroid localization, cognitive Internet of Things, neighbor relationship, performance analysis, spectrum access

申滨, 李银波, 梁枭伟 . 基于增强加权质心定位辅助的认知物联网用户频谱接入控制[J]. 物联网学报, doi: 10.11959/j.issn.2096-3750.2022.00312.

SHEN Bin, LI Yinbo, LIANG Xiaowei . Spectrum Access Control for Cognitive Internet of Things Users Based on Enhanced Weighted Centroid Localization[J]. Chinese Journal on Internet of Things, doi: 10.11959/j.issn.2096-3750.2022.00312.

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