Hierarchical Routing with Optimization Algorithm for SDN: Enhancing Network Lifetime and QoS
In many fields, such as monitoring the environment, health care, and surveillance, Software Defined Networking (SDN) was essential. The system performance of SDN remains severely constrained by the restricted electrical sources available. Most of the applications being developed in such networks are...
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Veröffentlicht in: | Revue d'Intelligence Artificielle 2024-06, Vol.38 (3), p.1027-1034 |
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Sprache: | eng ; fre |
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Zusammenfassung: | In many fields, such as monitoring the environment, health care, and surveillance, Software Defined Networking (SDN) was essential. The system performance of SDN remains severely constrained by the restricted electrical sources available. Most of the applications being developed in such networks are meant for critical a service which requires high computation leading to power dissipation and energy consumption. In such constraint networks, energy consumption is a significant cost factor for computing resources. Formation of cluster, Route establishment and transmission of data are the three aspects of the proposed technique. This paper offers a hierarchical navigation method for SDN, depending on the Improved Lion Optimization (ILO) method to handle this problem while improving the network's lifespan and Quality of Service (QoS) by using less power. The ILO method is used to create sensor node clusters according to an organizational framework during the cluster-formation phase. Simulations on computers have been employed to examine the proposed strategy, and several protocols for routing in use. Evaluated for their potential to improve SDN, efficiency and lengthen the lifespan of the network. The outcomes show that the proposed method can locate the shortest way, reduce expenditures, and minimize the use of energy. In addition, in comparison with existing methodologies, the proposed strategy delivers a longer network lifespan and higher QoS. |
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ISSN: | 0992-499X 1958-5748 |
DOI: | 10.18280/ria.380328 |