Publication

Abstract : Addressing the inadequacy of medical facilities in rural communities and the high numberof patients affected by ailments that need to be treated immediately is of prime importance forall countries. The various recent healthcare emergency situations bring out the importance oftelemedicine and demand rapid transportation of patients to nearby hospitals with available resourcesto provide the required medical care. Many current healthcare facilities and ambulances are notequipped to provide real-time risk assessment for each patient and dynamically provide the requiredmedical interventions. This work proposes an IoT-based mobile medical edge (IM2E) node tobe integrated with wearable and portable devices for the continuous monitoring of emergencypatients transported via ambulances and it delves deeper into the existing challenges, such as(a) a lack of a simplified patient risk scoring system, (b) the need for architecture that enablesseamless communication for dynamically varying QoS requirements, and (c)the need for context-aware knowledge regarding the effect of end-to-end delay and the packet loss ratio (PLR) on thereal-time monitoring of health risks in emergency patients. The proposed work builds a data pathselection model to identify the most effective path through which to route the data packets in aneffective manner. The signal-to-noise interference ratio and the fading in the path are chosen toanalyze the suitable path for data transmission