Multi-Channel Framework for Body Area Network in Health Monitoring

Abstract

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 schemes are facing problem of inefficiency due to fading and shadowing effects. We propose a novel multi-radio multichannel framework for efficient communication among devices in WBAN. The focus of this research is to ensure energy efficient and reliable communication in WBAN.

EIMAC: a multi‐channel MAC protocol towards energy efficiency and low interference for WBANs

“…It clearly indicates that the quality of the signal is affected by the propagation around the human body and is consistent with the channel models [12]. Authors [13][14][15][16] indicate that multi-channel scheme can observably mitigate interference, enhance network capacity, and improve bandwidth utilisation.…”

Towards Developing a MAC protocol for outer-WBAN communication for pilgrims’ health monitoring during hajj: A feasibility study

“…Authors in [21] showed that using of single radio single channel MAC protocol for medical applications may result in obvious interference, channel collision, higher delay and energy inefficiency. Implementable single-radio multi-channel energy efficient TDMA based MAC protocol (ISRMC-MAC) is proposed in [22] using unbalanced star and mesh combined topology but it has more interference effect, more end-to-end delay, and less data delivery rate.…”

Game theory based adaptive transmit power control algorithm for IoT wireless sensor networks

“…Since IoT devices have low power and have lossy communication channels (7) , a Transmission power control (TPC) is one of the mechanisms used to enhance the lifetime of a sensor node. In TPC, the transmit power level (TPL) is adaptively adjusted based on the channel conditions (8) . However, existing works on TPC in IoT networks involve high computational and storage overhead (9) .…”