Toward an Advanced Human Monitoring System Based on a Smart Body Area Network for Industry Use

Abstract

This research provides a study on a smart body area network (SmartBAN) physical layer (PHY), as an of the Internet of medical things (IoMT) technology, for an advanced human monitoring system in industrial use. The SmartBAN provides a new PHY and a medium access control (MAC) layer, improving its performance and providing very low-latency emergency information transmission with low energy consumption compared with other wireless body area network (WBAN) standards. On the other hand, IoMT applications are expected to become more advanced with smarter wearable devices, such as augmented reality-based human monitoring and work support in a factory. Therefore, it is possible to develop more advanced human monitoring systems for industrial use by combining the SmartBAN with multimedia devices. However, the SmartBAN PHY is not designed to transmit multimedia information such as audio and video. To address this issue, multilevel phase shift keying (PSK) modulation is applied to the SmartBAN PHY, and the symbol rate is improved by setting the roll-off rate appropriately to realize the system. The numerical results show that a sufficient link budget, receiver sensitivity and fade margin were obtained even when those approaches were applied to the SmartBAN PHY. The results indicate that these techniques are required for high-quality audio or video transmission, as well as vital sign data transmission, in a SmartBAN.

Toward Dependable Internet of Medical Things: IEEE 802.15.6 Ultra-Wideband Physical Layer Utilizing Superorthogonal Convolutional Code

“…In Equation (5), is the information bit length in the PSDU, is the energy consumption of the communication link, and is the transmission success ratio. can be expressed as follows [ 32 ]: …”

“…In Equation (6), is the transmission failure ratio, is the SFD detection failure ratio, is the PHR error ratio, and is the PSDU error ratio. Additionally, can be simply described as follows [ 32 ]: …”

“…In Equations (7) and (8), , , , and are the lengths of the PPDU, the SHR, the PHR, and the PSDU, respectively; and are the transmitter and receiver power consumptions, respectively; and and are the encoding and decoding energies, respectively [ 17 , 32 , 34 ].…”

“…The computer simulator was constructed in MATLAB. The energy efficiency in the PHY is derived from [17,[32][33][34][35] as follows:…”

Performance Evaluation of an On-Body Wireless Body Network Based on an Ultra-Wideband Physical Layer under a Dynamic Channel Model

“…The simulator was built by MATLAB. The energy efficiency in the PHY is derived from [34,38,[49][50][51][52] as follows:…”