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基于认知无线电的物联网网络中的握手感知多址接入控制。

Handshake Sense Multiple Access Control for Cognitive Radio-Based IoT Networks.

机构信息

Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea.

Department of Digital Convergence Business, Yeungnam University, Gyeongsan 38541, Korea.

出版信息

Sensors (Basel). 2019 Jan 10;19(2):241. doi: 10.3390/s19020241.

DOI:10.3390/s19020241
PMID:30634598
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6359515/
Abstract

Internet-of-Things (IoT) enabling technologies such as ZigBee, WiFi, 6LowPAN, RFID, Machine-to-Machine, LTE-Advanced, etc. depend on the license-free Industrial Scientific and Medical (ISM) bands for the Internet. The proliferation of IoT devices is not only anticipated to create a huge amount of congestion in the near future, but even now the unlicensed spectrum is not enough in the ISM bands. Towards this end, Cognitive Radio (CR) technology can resolve the spectrum shortage issue since CR users can opportunistically exploit white spaces in licensed channels of the adjacent wireless systems. In CR networks, it is critical to coordinate spectrum access among Secondary Users (SUs) while protecting priority rights of Primary Users (PUs). Therein, SUs need to take good care of hidden PUs in order to avoid harmful interference. Further, a densely deployed CR network can compromise spectrum sensing quality and certainty of the results when a large number of SUs contends to access the same channel. Therefore, based on the vulnerable sensing results, SUs can cause interference to the PUs. In this paper, we first investigate the leading issues and then propose a novel Handshake Sense Multiple Access with Collision Avoidance (HSMA/CA) protocol for CR-based IoT networks. Our proposed HSMA/CA scheme resolves hidden primary terminal problem and maintains sufficient priority rights to PUs in a densely distributed network. In addition, we optimize the spectrum sensing period to maximize the system performance by maintaining peculiarities in the sensing operation like false alarm and misdetection. To evaluate the performance of HSMA/CA, we have analyzed the protocol through the Markov chain model in terms of throughput and verify its accuracy by simulations. Simulation results show that our scheme is suitable for non-collaborative densely deployed CR-based IoT networks.

摘要

物联网(IoT)使能技术,如 ZigBee、WiFi、6LowPAN、RFID、机器对机器、LTE-Advanced 等,都依赖于互联网的免许可工业、科学和医疗(ISM)频段。预计物联网设备的普及不仅会在不久的将来造成巨大的拥塞,而且即使现在,ISM 频段的非许可频谱也不够用。为此,认知无线电(CR)技术可以解决频谱短缺问题,因为 CR 用户可以机会主义地利用相邻无线系统许可信道中的空闲频谱。在 CR 网络中,协调次用户(SU)的频谱访问,同时保护主用户(PU)的优先权利是至关重要的。在此,SU 需要妥善照顾隐藏的 PU,以避免有害干扰。此外,当大量 SU 竞争访问同一信道时,密集部署的 CR 网络会影响频谱感知质量和结果的确定性。因此,基于脆弱的感知结果,SU 可能会对 PU 造成干扰。在本文中,我们首先研究了主要问题,然后为基于 CR 的物联网网络提出了一种新颖的握手感知多址接入与避免碰撞(HSMA/CA)协议。我们提出的 HSMA/CA 方案解决了隐藏的主终端问题,并在密集分布的网络中维护了对 PU 的足够优先权利。此外,我们通过优化频谱感知周期,在保持感知操作中特有的误报和漏检等特性的同时,最大化系统性能。为了评估 HSMA/CA 的性能,我们通过马尔可夫链模型对协议进行了分析,并通过仿真验证了其准确性。仿真结果表明,我们的方案适用于非协作式密集部署的基于 CR 的物联网网络。

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