Edge device based efficient data collection in smart health monitoring system using wireless body area network

Abstract

Wireless Body Area Network (WBAN) provides continuous remote patient health monitoring without disrupting their normal daily activities. In WBAN, the bio-sensor is placed on the human body to detect vital changes due to the abnormal behavior of human organs and send the sensed data via the Internet to the medical/cloud server. However, due to the processing of huge amounts of data generated by the EEG and ECG sensor, resource-limited networks face a big challenge in satisfying the required Quality of Services (QoS). Moreover, the WBAN often meets the major problem of QoS degradation due to congestion. In this paper, Minimum Edge-shared Vertex Path Selection (MEVPS) for WBAN seeks to mitigate the congestion problem and decreases the latency during emergency packets delivery. A minimum edge-shared vertex path between the source and the Base Station (BS) is created by updating neighbor information using Ant Colony Algorithm (ACA). In addition, the body controller in the proposed system minimizes the data traffic entered into the network through the use of packet discard policy. It is observed from the simulation results that the proposed routing strategy demonstrates a better efficacy of QoS parameters.