Wireless Body Area Networks

Barsocchi, Paolo; Potortì, Francesco

doi:10.1016/b978-0-12-418662-0.00012-x

Cited by 17 publications

(3 citation statements)

References 37 publications

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“…In this essence, simplification of data size at the node level may include the implementation of various data compression and coding technique, sampling, feature extraction, segmentation, and classification. Performing node level signal processing lowers traffic in the transmission channel, reduce latency, data collisions, and link drop rate due to reduced network resource competition [26,27]. However, node level signal processing faces several challenges including its complexity on timing and synchronization between operations, need for specific application language developers, computing power constraint and limited memory size with adverse effects on data processing overheads [28].…”

Section: Signal Processingmentioning

confidence: 99%

“…Commercialization of the wireless body area networks increases the number of users contributing to massive data traffic in the transmission channel and the increased network resource competition [47]. Excessive network resource competition may end up in packet collision, inter-BAN interference, end to end delays and data loss [26,27]. Since the network resource is limited, the current use of the available spectrum may not suit future demand to provide a better quality of service [6,35].…”

Section: Wban Spectrum Managementmentioning

confidence: 99%

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Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

2021

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This study presents a survey of the current issues, application areas, findings, and performance challenges in wireless body area networks (WBAN). The survey discusses selected areas in WBAN signal processing, network reliability, spectrum management, security, and WBAN integration with other technologies for highly efficient future healthcare applications. The foundation of the study bases on the recent growing advances in microelectronic technology and commercialization, which ease device availability, miniaturization, and communication. The survey considers a systemic review conducted using reports, standard documents, and peer-reviewed articles. Based on the comprehensive review, we find WBANs faces several operational, standardization, and security issues, affecting performance and maintenance of user safety and privacy. We envision the increasing dependency of future healthcare on WBAN for medical and non-medical applications due to internet connectivity advances. In this view, despite the WBAN advantages in remote health monitoring, further studies need to be conducted for performance optimization. Therefore we finalize our study by proposing various current and future research directions and open issues in WBAN’s performance enhancement.

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Section: Signal Processingmentioning

confidence: 99%

Section: Wban Spectrum Managementmentioning

confidence: 99%

Performance issues in wireless body area networks for the healthcare application: a survey and future prospects

2021

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“…Having previously estimated the distance between the target and the M BLE reference beacons, it is possible to estimate the target position considering it as an optimal problem, which can be solve using a least squares method [6], [17]. In our case, we use the Levenberg-Marquardt algorithm for nonlinear least squares.The Mathematically, lateration is expressed by Eq.…”

Section: A Lateration Ble-rssi Based Indoor Positioning Systemmentioning

confidence: 99%