An Efficient Multi-class Message Scheduling Scheme for Healthcare IoT Systems

Abstract

The Internet of Things (IoT) concept, which involves communication within a network of objects, has become increasingly popular, and development in this area of technology is quite active. IoT environments involve the generation of large amounts of data, and require various levels of Quality of Service. For this reason, message scheduling schemes to deliver the data in IoT environments are considered to be essential.This paper proposes an efficient multi-class message scheduling algorithm for healthcare IoT environments. In the proposed message algorithm, messages are grouped into three message classes (UNC, RT and DT classes) based on the characteristics of the messages. The proposed message algorithm is resourceefficient because it uses a simpler priority calculation than the Multi-class Q-Learning message scheduling algorithm, which we proposed for IoT systems previously.Tests were conducted on a part of the oneM2M-based IoT system we have built. These showed that in most cases, the proposed scheduling algorithm performs better than the Multi-class Q-Learning scheduling algorithm.