Research Area:  Internet of Things
As Internet of Things (IoT) applications have gained increasing popularity, mechanisms to deal with congestion control owing to the large number of nodes have become a critical requirement. The Constrained Application Protocol (CoAP) is designed for low-power and lossy networks, using messages on the UDP, which relies on simple congestion control mechanisms. This method is suitable for IoT environments and can handle several nodes. In this study, we propose Enhanced Congestion Control – Random Early Detection (EnCoCo-RED), which is a more recent version that can help improve congestion control mechanism for CoAP observe group communication. The mechanism provides buffer management, along with the adjustment of backoff algorithms, according to the congestion levels in a network.To test its effectiveness, the mechanism was operated in two scenarios (burst traffic scenario and constant traffic scenario) that differ in terms of network traffic volumes. The experimental results demonstrate that EnCoCo-RED outperforms the CoAP and the previous CoCo-RED in terms of the settling time, throughput, packet loss, and response time.
Author(s) Name:  Chanwit Suwannapong, Chatchai Khunboa
Journal name:  Ad Hoc Networks
Publisher name:  ELSEVIER
Volume Information:  Volume 112
Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S1570870520307186