Using priority queuing for congestion control in IoT-based technologies for IoT applications
No Thumbnail Available
Date
2020-11-24
Journal Title
Journal ISSN
Volume Title
Publisher
Wiley
Abstract
The Internet of Things (IoT) connect millions of devices in diverse areas such
as smart cities, e-health, transportation and defense to meet a wide range of
human needs. To provide these services, a large amount of data needs to be
transmitted to the IoT network servers. However, the IoT networks suffer from
limited resources such as buffer size, node processing capabilities, and server
capacities adversely affecting throughputs, latency, and energy consumption.
Additionally, the ensuing heavy network traffic due to large amount of data
transmitted results in congestion which degrades IoT network performance.
Therefore, innovative congestion control techniques, e.g., queue management
approach needs to be developed to overcome congestion problems in IoT networks. In this paper, a novel priority queuing technique (Npqt++) is developed to control congestion in IoT networks. The Npqt++ implements a
preemptive/nonpreemptive discipline with a discretion rule to classify network
traffic based on their real-time requirement into priority groups. If the discretion rule for low priority packets is satisfied, high priority packets are pushed
to the front of the queue; otherwise, they wait in the queue. Our approach significantly outperforms existing techniques in terms of throughput, delay, and
energy consumption.
Description
Keywords
congestion control, Internet of Things, IoT applications, preemptive/nonpreemptive priority, queuing