Redundant packets removal queue-aware congestion avoidance scheme for IoT based healthcare applications

Abstract The Internet of Healthcare Things (IoHT) is an emerging technology that has attracted researchers’ interest due to its broad applicability in recent years. In IoHT platforms, sensors continually collect patient data, which most of the time contains normal readings, and send it to the cloud via intermediate devices. In an emergency, a large amount of data may rapidly fill network queues, causing congestion and data loss. It has significant consequences, particularly in time-sensitive healthcare applications. To solve this issue, the suggested approach minimizes data transfer by transmitting a Boolean value if no emergency is identified or the patient’s health parameters are normal. The aforementioned Boolean value is far less in size and takes much less time to process data, significantly decreasing the cache’s burden and freeing it up for unforeseen emergency data. This approach aims to improve the efficiency of packet data handling. This ensures that high-priority, critical data packets are processed immediately. Furthermore, after transferring 20 packets via Boolean values, the system then sends the entire data packet to keep track. This balanced strategy reduces unnecessary data traffic, alleviates network congestion, and ensures that vital information is processed on time. By reducing cache use and prioritizing emergency packets, the suggested solution improves the overall performance of the IoHT system and enhances patient safety by preventing the loss of critical data. A large number of simulations are performed on Ubuntu using NS-2.35. The results show that the proposed scheme outperforms in terms of communication cost, throughput, packet loss, and delay during an emergency.