Channel aware wireless body area network with cognitive radio technology in disaster cases,International Journal of Communication Systems

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Channel aware wireless body area network with cognitive radio technology in disaster cases
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-29 , DOI: 10.1002/dac.4565
Murtaza Cicioğlu ₁ , Ali Çalhan ₂

Affiliation

Today, developments in wireless technologies and the increase in disaster cases reveal the necessity of various wireless technologies cooperation. Several technologies are able to cooperate with each other for eHealth, IoT, and so forth applications in disaster cases with the pros and cons of today's communications. Wireless Body Area Networks (WBAN) and cognitive radio (CR) are promising technologies that can be used together to troubleshoot communication problems and make rescue operations successful in disaster situations. WBAN is a radio frequency‐based wireless network technology that aims to monitor the functions and conditions of the human body through the sensor nodes that form a network. CR proposes solutions to current problems of wireless communications such as spectrum scarcity and inefficient use of the spectrum. In this study, CR‐based WBAN architecture is proposed in disaster cases, and so the emergency, time‐critical, and vital signs of WBAN users (endangered people and rescue team members) are able to reach the health unit or disaster management unit in an opportunistic way. CR technology is integrated with a WBAN architecture utilizing the CSMA/C‐based IEEE 802.15.6 standard, and performance analysis is executed with the Riverbed Modeler simulation software. Furthermore, using the channel bonding technique, the throughput, the delay, the packet delivery ratios, and energy consumption ratios of the proposed architecture are investigated. According to the results, it was found that CR‐based WBAN architecture was 25% more successful in energy efficiency and 5% more successful in packet delivery ratio with channel bonding technique than the traditional WBAN.

中文翻译：

灾难情况下采用认知无线电技术的可感知信道的无线人体局域网

如今，无线技术的发展和灾难事件的增加表明了各种无线技术合作的必要性。多种技术能够在灾难情况下针对eHealth，IoT等应用相互协作，具有当今通信的利弊。无线人体局域网（WBAN）和认知无线电（CR）是有前途的技术，可以一起使用来解决通信问题并在灾难情况下成功进行救援。WBAN是一种基于射频的无线网络技术，旨在通过形成网络的传感器节点来监视人体的功能和状况。CR提出了针对当前无线通信问题（例如频谱稀缺和频谱使用效率低）的解决方案。在这个研究中，在灾难情况下提出了基于CR的WBAN架构，因此WBAN用户（濒危人员和救援小组成员）的紧急，时间紧迫和生命体征能够以机会主义的方式到达卫生部门或灾难管理部门。CR技术与基于CSMA / C的IEEE 802.15.6标准的WBAN体系结构集成在一起，并且使用Riverbed Modeler仿真软件执行性能分析。此外，使用信道绑定技术，研究了所提出的体系结构的吞吐量，延迟，分组传输率和能耗率。根据结果，发现与传统的WBAN相比，基于CR的WBAN架构在能效方面的成功率高25％，在数据包传输率方面的成功率高5％。

更新日期：2020-10-05

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