On Research Challenges in Hybrid Medium-Access Control Protocols for IEEE 802.15.6 WBANs

Saboor, Abdul; Ahmad, Rizwan; Ahmed, Waqas; Kiani, Aysha Karim; Moullec, Yannick Le; Alam, Muhammad Mahtab

doi:10.1109/jsen.2018.2883786

Cited by 42 publications

(27 citation statements)

References 73 publications

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“…Wearable sensors are worn or attached to various parts of the body to monitor vitals and gait parameters. Therefore, wearables are frequently considered as the the most suitable technology for the healthcare, security, sports, and fitness applications [30]- [32]. In gait analysis, accelerometers [33], [34], gyroscopes [35], Inertial Measurement Units (IMUs) [36] and force sensors [37] are widely used to measure gait characteristics [38].…”

Section: Introductionmentioning

confidence: 99%

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

et al. 2020

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Gait is the locomotion attained through the movement of limbs and gait analysis examines the patterns (normal/abnormal) depending on the gait cycle. It contributes to the development of various applications in the medical, security, sports, and fitness domains to improve the overall outcome. Among many available technologies, two emerging technologies that play a central role in modern day gait analysis are: A) wearable sensors which provide a convenient, efficient, and inexpensive way to collect data and B) Machine Learning Methods (MLMs) which enable high accuracy gait feature extraction for analysis. Given their prominent roles, this paper presents a review of the latest trends in gait analysis using wearable sensors and Machine Learning (ML). It explores the recent papers along with the publication details and key parameters such as sampling rates, MLMs, wearable sensors, number of sensors, and their locations. Furthermore, the paper provides recommendations for selecting a MLM, wearable sensor and its location for a specific application. Finally, it suggests some future directions for gait analysis and its applications.

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Section: Introductionmentioning

confidence: 99%

Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review

et al. 2020

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“…Hybrid MAC protocols for WBAN are compared in [8]. A new QoS-based cross-layer MAC protocol is proposed in [9], capabile with the ISO / IEEE 11073 standard, using a socket allocation scheme, priority mechanism, multi-channel architecture, and cross-layer solution.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of WBANs MAC Protocols in Different dBm and OMNet++

Albayrak¹,

Musa²,

Çakmak³

2021

Journal of Intelligent Systems: Theory and Applications

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In present days, wireless sensor networks (WSN) have involved considerable attention of both academy and industry because of the varied range of contexts in which they could be used. The has wireless body area network (WBAN) become the most important standard for WSN, and several software and hardware platforms are built on it. The implementation and performance analysis of this standard is essential to understand the important limits of it. The simulation is one of the greatest valuable tools for protocol evaluation and prototyping design. Furthermore, network simulators play an important part to test new algorithms and other protocols built on this specification. In this paper, the performance of the WBAN MAC standard protocols has been tested. The performance of the protocols regarding power consumption, delay and packets congestion are compared using OMNet++ simulator.

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“…RAP 1, RAP 2, and CAP are used for regular traffic only. The Type I/II phases are used for uplink and downlink allocation intervals and delay blink allocation intervals [21].…”

Section: Ieee Standardsmentioning

confidence: 99%