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基于可靠 ZigBee 的物联网通信中的多级超正交空时编码方案。

Inter-Multilevel Super-Orthogonal Space-Time Coding Scheme for Reliable ZigBee-Based IoMT Communications.

机构信息

Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.

Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia.

出版信息

Sensors (Basel). 2022 Mar 31;22(7):2695. doi: 10.3390/s22072695.

DOI:10.3390/s22072695
PMID:35408308
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9003450/
Abstract

The Internet of Things (IoT) technology has revolutionized the healthcare industry by enabling a new paradigm for healthcare delivery. This paradigm is known as the Internet of Medical Things (IoMT). IoMT devices are typically connected via a wide range of wireless communication technologies, such as Bluetooth, radio-frequency identification (RFID), ZigBee, Wi-Fi, and cellular networks. The ZigBee protocol is considered to be an ideal protocol for IoMT communication due to its low cost, low power usage, easy implementation, and appropriate level of security. However, maintaining ZigBee's high reliability is a major challenge due to multi-path fading and interference from coexisting wireless networks. This has increased the demand for more efficient channel coding schemes that can achieve a more reliable transmission of vital patient data for ZigBee-based IoMT communications. To meet this demand, a novel coding scheme called inter-multilevel super-orthogonal space-time coding (IM-SOSTC) can be implemented by combining the multilevel coding and set partitioning of super-orthogonal space-time block codes based on the coding gain distance (CGD) criterion. The proposed IM-SOSTC utilizes a technique that provides inter-level dependency between adjacent multilevel coded blocks to facilitate high spectral efficiency, which has been compromised previously by the high coding gain due to the multilevel outer code. In this paper, the performance of IM-SOSTC is compared to other related schemes via a computer simulation that utilizes the quasi-static Rayleigh fading channel. The simulation results show that IM-SOSTC outperforms other related coding schemes and is capable of providing the optimal trade-off between coding gain and spectral efficiency whilst guaranteeing full diversity and low complexity.

摘要

物联网 (IoT) 技术通过为医疗保健提供新的范式，彻底改变了医疗保健行业。这个范式被称为医疗物联网 (IoMT)。IoMT 设备通常通过广泛的无线通信技术进行连接，例如蓝牙、射频识别 (RFID)、ZigBee、Wi-Fi 和蜂窝网络。由于 ZigBee 协议具有低成本、低功耗、易于实现和适当的安全性，因此被认为是 IoMT 通信的理想协议。然而，由于多径衰落和共存无线网络的干扰，保持 ZigBee 的高可靠性是一个主要挑战。这增加了对更高效信道编码方案的需求，这些方案可以实现更可靠的基于 ZigBee 的 IoMT 通信中重要患者数据的传输。为了满足这一需求，可以通过组合多级编码和基于编码增益距离 (CGD) 准则的超正交空时分组码的集合划分来实现一种称为多级超正交空时编码 (IM-SOSTC) 的新型编码方案。所提出的 IM-SOSTC 利用一种在相邻多级编码块之间提供级间相关性的技术，以提供更高的频谱效率，这在以前由于多级外码的高编码增益而受到损害。在本文中，通过利用准静态瑞利衰落信道的计算机模拟，将 IM-SOSTC 的性能与其他相关方案进行了比较。模拟结果表明，IM-SOSTC 优于其他相关编码方案，能够在保证全分集和低复杂度的同时，提供编码增益和频谱效率之间的最佳折衷。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/fff2e56fc220/sensors-22-02695-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/913c6f3c56ba/sensors-22-02695-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/1873317eba7b/sensors-22-02695-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/6e0340b6c8a3/sensors-22-02695-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/4b0d4d8cfc06/sensors-22-02695-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/24e67f6db953/sensors-22-02695-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/c27b6f427f5b/sensors-22-02695-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/fdd4d83c2949/sensors-22-02695-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/0ac41f760595/sensors-22-02695-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/fff2e56fc220/sensors-22-02695-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/75d55a5ef5bc/sensors-22-02695-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/a3d60b4cae50/sensors-22-02695-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/e55fd9ed376d/sensors-22-02695-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/913c6f3c56ba/sensors-22-02695-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/e9c1ad6b9346/sensors-22-02695-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/1873317eba7b/sensors-22-02695-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/6e0340b6c8a3/sensors-22-02695-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/4b0d4d8cfc06/sensors-22-02695-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/24e67f6db953/sensors-22-02695-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/c27b6f427f5b/sensors-22-02695-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/fdd4d83c2949/sensors-22-02695-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/0ac41f760595/sensors-22-02695-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cc/9003450/fff2e56fc220/sensors-22-02695-g014.jpg

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