TY - GEN
T1 - Achieving Quality of Service and Traffic Equilibrium in Software-Defined IoT Networks
AU - Zafar, Samra
AU - Ibrar, Muhammad
AU - Erbad, Aiman
AU - Zafar, Bakhtawar
AU - Zaydi, Nizam Hussain
AU - Hu, Xiaopeng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Internet of Things (IoT) has revolutionized industrial environments by offering various solutions for control and automation. However, the increasing number of machines and the resulting massive traffic volumes pose significant challenges in achieving Quality of Service (QoS) and avoiding network overload. In addition, it is important to note that various categories of applications within the IoT necessitate distinct QoS considerations. Moreover, traffic allocation among IoT servers should be based on their respective capacity levels. In order to tackle these challenges, this study presents an innovative framework utilizing Software-Defined Networking (SDN) to effectively meet the QoS demands of diverse IoT services while also achieving traffic equilibrium among IoT servers. The experimental results indicate improved IoT QoS parameters, including throughput and delay, while maintaining a low control plane overhead.
AB - The Internet of Things (IoT) has revolutionized industrial environments by offering various solutions for control and automation. However, the increasing number of machines and the resulting massive traffic volumes pose significant challenges in achieving Quality of Service (QoS) and avoiding network overload. In addition, it is important to note that various categories of applications within the IoT necessitate distinct QoS considerations. Moreover, traffic allocation among IoT servers should be based on their respective capacity levels. In order to tackle these challenges, this study presents an innovative framework utilizing Software-Defined Networking (SDN) to effectively meet the QoS demands of diverse IoT services while also achieving traffic equilibrium among IoT servers. The experimental results indicate improved IoT QoS parameters, including throughput and delay, while maintaining a low control plane overhead.
KW - Internet of Things
KW - QoS
KW - Software Defined Network
UR - https://www.scopus.com/pages/publications/85179855373
U2 - 10.1109/ISNCC58260.2023.10323759
DO - 10.1109/ISNCC58260.2023.10323759
M3 - Conference contribution
AN - SCOPUS:85179855373
T3 - 2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
BT - 2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
Y2 - 23 October 2023 through 26 October 2023
ER -