Enhancing WSN Efficiency with SDN: A Deployment using SDN-WISE for Improved Routing anssd Network Longevity

Remote Sensor Organizations (WSNs) face huge difficulties in steering productivity and organization life span because of dynamic conditions, energy imperatives, and versatility issues. This exploration investigates the reconciliation of Programming Characterized Systems administration (SDN) standards with SDN-Insightful to advance WSN execution. An extensive strategy is taken on, starting with sound decrease procedures for preprocessing to guarantee information dependability by killing sign disturbances. Recursive Component Disposal (RFE) is used for highlight determination, empowering the ID of the most applicable boundaries impacting network productivity, like energy utilization, parcel conveyance proportion, and geography changes. For grouping and independent direction, a Profound Q-Learning model is carried out to powerfully streamline steering ways while adjusting energy proficiency and burden circulation across hubs. The proposed framework shows huge upgrades in steering precision, diminished energy utilization, and improved network lifetime. This sending feature the capability of SDN-based structures in changing WSNs into additional versatile and effective frameworks for present day IoT applications.

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Published
2025-05-09
DOI
https://doi.org/10.1109/ginotech63460.2025.11076745
Primary Topic
Software-Defined Networks and 5G
Type
article
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article

Enhancing WSN Efficiency with SDN: A Deployment using SDN-WISE for Improved Routing anssd Network Longevity

G Sunil, N. Duraichi, K. Venkatesh Guru, Arvind Tudigani et al.
Software-Defined Networks and 5G
article

Enhancing WSN Efficiency with SDN: A Deployment using SDN-WISE for Improved Routing anssd Network Longevity

G Sunil, N. Duraichi, K. Venkatesh Guru, Arvind Tudigani, P. Shanmugaraja, C. Jency
article en

Abstract

Remote Sensor Organizations (WSNs) face huge difficulties in steering productivity and organization life span because of dynamic conditions, energy imperatives, and versatility issues. This exploration investigates the reconciliation of Programming Characterized Systems administration (SDN) standards with SDN-Insightful to advance WSN execution. An extensive strategy is taken on, starting with sound decrease procedures for preprocessing to guarantee information dependability by killing sign disturbances. Recursive Component Disposal (RFE) is used for highlight determination, empowering the ID of the most applicable boundaries impacting network productivity, like energy utilization, parcel conveyance proportion, and geography changes. For grouping and independent direction, a Profound Q-Learning model is carried out to powerfully streamline steering ways while adjusting energy proficiency and burden circulation across hubs. The proposed framework shows huge upgrades in steering precision, diminished energy utilization, and improved network lifetime. This sending feature the capability of SDN-based structures in changing WSNs into additional versatile and effective frameworks for present day IoT applications.

Department of Biotechnology (IN), KPR Institute of Engineering and Technology (IN), Saveetha University (IN)
Affordable and clean energy
Openalex Percentile: Top 78%
Software-Defined Networks and 5G
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Enhancing WSN Efficiency with SDN: A Deployment using SDN-WISE for Improved Routing anssd Network Longevity — G Sunil, N. Duraichi, et al. · (2025) | TGRS Research Map | TGRS