Performance Improvement for Industrial Internet of Things Systems based on Optimization of Contention Access Period in Superframes

Abstract

The Industrial Internet of Things (IIoT) is an emerging technology in recent years, which is widely utilized for control, manage the manufacturing environment, and monitor production lines in the smart factories at any time from every location over the global through an Internet connection. IIoT includes various physical objects of the real smart devices, which are deployed based on their functionalities. IIoT network has so many technical complex issues; one of the most essential issues is the performance, which affects the network throughput. Performance plays a major role as it can significantly improve the IIoT network's lifetime. Many research efforts have been done in this area to improve the IIoT network performance. This thesis proposed the Contention Access Period Reduction Medium Access Control protocol (CAP Reduction protocol) for improving the performance based on the CAP size reduction. The proposed protocol leads to reduce the CAP portion. Thus the number of time slots, which assigned to the network nodes will decrease. Moreover, this research attempts to estimate the performance of the IIoT network based on three metrics: throughput, packets delay, and energy consumption. To validate the proposed protocol, different experiments have been conducted based on the Cooja simulator, which works under the Contiki Operating System (OS). The proposed protocol is reduced the number of time slots by 50 %, increases throughput by 63.0 %, decrease the packets execution time by 33.7 %, and also reduces the overall energy consumption by up to 64.14 %.