QoS-Enhancement Adaptive OpenFlow Rule Integration in Software Defined WSN for IoT Applications

2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) Pub Date : 2022-11-24 DOI:10.1109/ICAISS55157.2022.10011102

K. P. kumar, P. Sivanesan, P. Sathyaprakash

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Abstract

OpenFlow rule aggregation method in software-defined wireless sensor networks (SDWSN) is addressed to represent the flow-table overflow problem in the switches of SDN controller deployed in IoT applications. By having minimum effect on the QoS of IoT traffic, a key based mechanism is followed to minimize the count of flow rules. From numerous candidate paths, based on the utilization and IoT application a QoS path was selected by taking the flow-table capability at the SDN switches. A Perfect-fit heuristic method was examined which consider the IoT traffic congestion during flow rule insertions, besides with the flow-table at the switches on network path, by minimizing the cumulative count of flow-rule in SDWSN. Simulation results of the proposed scheme shows, it reduces time delay in an average and packets drop by 35% and 12% correspondingly. Existing schemes are compared, and the network throughput rises by 20% and a remarkable improvement in the rebate of flow rules in SDN switches associated with IoT applications.

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面向物联网应用的软件定义WSN qos增强自适应OpenFlow规则集成

针对物联网应用中部署的SDN控制器交换机流表溢出问题，提出了软件定义无线传感器网络(SDWSN)中的OpenFlow规则聚合方法。通过最小化对物联网流量QoS的影响，遵循基于密钥的机制来最小化流规则的计数。从众多候选路径中，根据利用率和物联网应用，通过在SDN交换机上使用流表功能选择QoS路径。通过最小化SDWSN中流规则的累计计数，研究了一种考虑物联网流量在流规则插入过程中的拥塞以及网络路径上交换机上的流表的完美拟合启发式方法。仿真结果表明，该方案的时延平均降低35%，数据包减少12%。通过对现有方案的比较，网络吞吐量提高了20%，并且在与物联网应用相关的SDN交换机中流量规则的回扣方面有了显着改善。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)

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