探索无线体域网络(WBAN)的挑战和应用的调查报告

Arun Sekar Rajasekaran , L. Sowmiya , Azees Maria , R. Kannadasan
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引用次数: 0

摘要

网络在每个人的日常生活中都扮演着重要角色。网络在信道的发送方和接收方之间传输必要的信息。无线体域网(WBAN)是网络通信领域的一大进步。由于微机电系统(MEMS)和多种智能传感器的出现,与 WBAN 的合作可以准确预测人体参数。无线局域网在医疗和非医疗领域应用广泛。无线局域网在实时健康监测方面已显示出卓越的能力,有助于收集不同环境中个人的重要生理数据。首先,WBAN 的低功耗和高能效设计可确保设备长时间运行,使其适合长时间连续监测。此外,传感器的微型化和无线通信技术的集成使数据能够无缝传输到中央医疗保健系统。此外,将人工智能和机器学习算法集成到无线局域网系统中,实现了个性化健康分析,从而可以进行更精确、更能感知上下文的健康监测。本文概述了 WBAN 标准、WBAN 的安全性、几种认证方法、路由和 MAC 协议。此外,本文还介绍了 WBAN 面临的挑战,如网络分区、姿势变化、寿命问题和服务质量(QoS)。最后,WBAN 的进步将促进体域网络领域的未来发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey on exploring the challenges and applications of wireless body area networks (WBANs)

Networks play an important role in the day-to-day life of every individual. Networks are involved in the transmission of necessary information between the sender and receiver in the channel. Wireless Body Area Network (WBAN) is a major advancement in the field of network communication. Due to the arrival of the Micro Electromechanical System (MEMS) and several intelligent sensors, collaboration with WBAN makes accurate predictions of parameters in the human body. WBAN has numerous applications in medical and non-medical fields. WBANs have demonstrated remarkable capabilities in real-time health monitoring, facilitating the collection of vital physiological data from individuals in diverse environments. Firstly, their low-power and energy-efficient design ensures prolonged device operation, making them suitable for continuous monitoring over extended periods. Additionally, the miniaturization of sensors and the integration of wireless communication technologies enable seamless data transmission to centralized healthcare systems. Furthermore, the integration of artificial intelligence and machine learning algorithms in WBAN systems has enabled personalized health analytics, allowing for more precise and context-aware health monitoring. This paper gives a survey of the WBAN standard, security in WBAN, several authentication approaches, routing, and MAC protocols. In addition, this paper describes the challenges faced by WBAN, such as network partitioning, changes in postures, lifetime issues, and quality of service (QoS). At last, the advancement in WBAN is for future improvement in the area of body area networks.

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