PROPOSED ENERGY AWARE ROUTING ALGORITHM FOR SOFTWARE DEFINED NETWORK

Software defined networking enhances network flexibility by split the control plane and the data plane, revolutionizing legacy network architecture by detaching control logic from forwarding devices. While SDN offers increased flexibility and programmability, routing algorithms play a vital role in determining how packets are forwarded. Proper assignment of controllers and switches is essential for creating energy-efficient networks. This paper reviews current routing techniques in SDN and proposes an algorithm aimed at reducing energy consumption in the network. The algorithm is designed to ensure efficient server allocation across various optimal scales, considering specific demands and link capacities, with the objective of minimizing overall power usage. We also compare the performance of this method with two other energy-aware routing (EAR) techniques, using shortest path routing algorithms for evaluation.Keywords: Energy aware routing, Optimization, Dynamic routing, IoT, Cloud computing

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Publication Details

Journal
International Journal of Apllied Mathematics
Published
2025-09-27
DOI
https://doi.org/10.12732/ijam.v38i4s.279
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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article

PROPOSED ENERGY AWARE ROUTING ALGORITHM FOR SOFTWARE DEFINED NETWORK

Asha Sadanand
International Journal of Apllied Mathematics
Software-Defined Networks and 5G
article

PROPOSED ENERGY AWARE ROUTING ALGORITHM FOR SOFTWARE DEFINED NETWORK

Asha Sadanand
article en

Abstract

Software defined networking enhances network flexibility by split the control plane and the data plane, revolutionizing legacy network architecture by detaching control logic from forwarding devices. While SDN offers increased flexibility and programmability, routing algorithms play a vital role in determining how packets are forwarded. Proper assignment of controllers and switches is essential for creating energy-efficient networks. This paper reviews current routing techniques in SDN and proposes an algorithm aimed at reducing energy consumption in the network. The algorithm is designed to ensure efficient server allocation across various optimal scales, considering specific demands and link capacities, with the objective of minimizing overall power usage. We also compare the performance of this method with two other energy-aware routing (EAR) techniques, using shortest path routing algorithms for evaluation.Keywords: Energy aware routing, Optimization, Dynamic routing, IoT, Cloud computing

International Journal of Apllied MathematicsVol. 38(4s)
Openalex Percentile: Top 69%
Software-Defined Networks and 5G
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