Physical-Statistical Channel Model for Off-Body Area Network

Statistical characteristic of dynamic Body Area Network channel

Body Area Networks (BANs) are wearable wireless sensor networks with a high potential for medical applications. For wireless communication inside the human body, the tissue medium acts as a channel through which the information is sent as electromagnetic (EM) radio frequency (RF) waves. Thus, losses in channel are in the form of fading due to multipath, reflection, diffraction, and scattering. ...

Multi-Channel Framework for Body Area Network in Health Monitoring

Increasing use of wireless networks has empowered the facility of ubiquitous health monitoring especially in advanced countries. Various small devices are attached to human body forming personalized wireless body area network (WBAN). These small devices interact with each other using different radios and antennas schemes proposed by many researchers around the globe. However, most of these sche...

New channel model for wireless body area network with compressed sensing theory

Channel Modelling and Optimization of Wireless Body Area Network (WBAN)

IEEE 802.15.4 is a standard used for low data rate Wireless Personal Area Networks (WPANs). It offers device level connectivity in applications with limited power and relaxed throughput requirements. Devices with IEEE 802.15.4 technology can be used in many potential applications such as home networking, industry/environments monitoring, healthcare equipments etc. due to its extremely low power...

Model-Driven Approach for Body Area Network Application Development

This paper introduces the sensor-networked IoT model as a prototype to support the design of Body Area Network (BAN) applications for healthcare. Using the model, we analyze the synergistic effect of the functional requirements (data collection from the human body and transferring it to the top level) and non-functional requirements (trade-offs between energy-security-environmental factors, tre...