Preemptive Epidemic Information Transmission Model Using Nonreplication Edge Node Connectivity in Health Care...

Area of Science:

• Medical Informatics
• Network Engineering
• Epidemiology

Background:

• Advancements in information and communication technologies have improved medical data organization and transmission.
• The increasing volume of digital communication necessitates optimized accessibility and transmission of sensitive medical data.
• Ensuring reliable medical data transmission is crucial, especially in epidemic regions.

Purpose of the Study:

• To introduce the Preemptive Information Transmission Model (PITM) for prompt medical data delivery.
• To design a transmission model that minimizes communication overhead in epidemic regions.
• To improve the availability and reduce delays in transmitting sensitive medical data.

Main Methods:

• The Preemptive Information Transmission Model (PITM) utilizes a noncyclic connection procedure and preemptive forwarding.
• Replication-less connection maximization is achieved through pruning tree classifiers based on communication time and delivery balancing.
• Conditional selection of infrastructure units ensures reliable data forwarding.

Main Results:

• The proposed PITM model reduces connection replications, enhancing edge node availability.
• The model optimizes transmissions, communication time, and minimizes delays in medical data delivery.
• Seamless information availability is achieved even within epidemic regions.

Conclusions:

• The Preemptive Information Transmission Model (PITM) effectively improves the promptness and reliability of medical data transmission.
• PITM ensures better data delivery, reduced communication time, and fewer delays, particularly in critical situations like epidemics.
• The model's design supports efficient and seamless access to vital medical information.