Emergency packets handing in queue aware congestion avoidance schemes in IoHT.

Area of Science:

• Computer Science
• Network Engineering
• Telecommunications

Background:

• The Internet of Healthcare Things (IoHT) is crucial for real-time patient monitoring and emergency services.
• Network congestion in IoHT leads to packet loss, jeopardizing critical healthcare data transmission.
• Existing congestion avoidance schemes inadequately handle varying emergency packet severities.

Purpose of the Study:

• To propose a novel congestion avoidance scheme, Dual Queue Aware Congestion Avoidance (D-QACA), for IoHT networks.
• To enhance the timely delivery of critical healthcare data during network congestion.
• To improve the reliability of emergency healthcare services transmitted over IoHT.

Main Methods:

• Implementation of a dual queue structure combined with an Emergency-aware Packet Placement Algorithm (EPPA).
• Classification of packets into high-priority and low-priority queues based on sensor type and an emergency flag.
• Simulation using NS-2.35 on Ubuntu to evaluate performance against existing schemes (QACA, DCCA).

Main Results:

• D-QACA significantly reduces buffer loss probability by up to 80%.
• Achieves up to 90% fewer emergency packet drops compared to state-of-the-art methods.
• Demonstrates enhanced performance through an emergency-aware repositioning mechanism for critical packets.

Conclusions:

• D-QACA effectively addresses network congestion challenges in IoHT environments.
• The proposed scheme ensures timely transmission of vital healthcare data, improving emergency response.
• D-QACA offers a superior solution for reliable and efficient IoHT network management during critical events.