The Impact of Healthcare Traffic Over H2H and M2M Networks During the Spread Phase of Pandemic Diseases

Recently, the coronavirus pandemic has caused widespread panic around world. Modern technologies can be used to monitor and control this highly contagious disease. A plausible solution is equip each patient who diagnosed with or suspected of having COVID-19 sensors that various healthcare location parameters report them desired facility spread However, simultaneous communication numerous installed in majority an area’s population results a huge burden on existing Long-Term Evolution (LTE) networks. The network becomes oversaturated because it manage two kinds traffic addition normal (text, voice, video): generated by large number deployed over population, extra people contacting their family members via video voice calls. In pandemics, e-healthcare critical should not suffer packet loss latency due overload. research, we studied performance networks under conditions predicted severity degradation emergency. We proposed evaluated three schemes (doubling bandwidth, combining LTE-A LTE-M networks, request queuing) for ensuring quality service (QoS) sensor (HCS) without perturbation from routine human-to-human machine-to-machine communications. Finally, simulated all compared scenarios. have showed when doubled bandwidth SCR was 100% as same Queue strategy. prioritized HCS recorded 100%, while H2H M2M 73%. When hybrid network, 70%. After analyzing results, conclude our queuing performed well provide best QoS traffic.