Energy Efficient Smart Scheduling for Multi-path Routing Using Deep Learning
- Title
- Energy Efficient Smart Scheduling for Multi-path Routing Using Deep Learning
- Creator
- Garg, Amit; Logeshwaran, J.; Dhanasekaran, S.; Gupta, Rishi; Singhal, Saurabh
- Description
- Energy efficiency is a key part of networkingit saves on cost and has an environmental impact. Multi-path routing is a well-known technique used for network traffic management to make it more efficient and reliable. Unfortunately, traditional multi-path routing techniques are oblivious to energy and suffer from poor energy utilization. This paper: An approach to efficient smart scheduling for multi-path routing with deep learning. Employing a deep learning algorithm with relevant network parameters allows us to predict the lightest path for processing in/outbound data. Simulation results demonstrate that our solution guarantees higher energy efficiency than conventional algorithms while enjoying better network performance. This solution proposes the formulation of a green and sustainable networking approach. Thus, it can be better adopted as an innovative security mechanism in many practical scenarios. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
- Source
- Lecture Notes in Networks and Systems;Volume;1278;pp.419-432
- Date
- 01-01-2025
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Deep learning; Energy efficient; Multi-path routing; Optimization; Resource management; Smart scheduling
- Coverage
- Garg A., Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, Jaipur, India; Logeshwaran J., Department of Computer Science, Christ University, Karnataka, Bengaluru, India; Dhanasekaran S., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, India; Gupta R., Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, Jaipur, India; Singhal S., Department of CSE, Apex Institute of Technology, Chandigarh University, Mohali, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 23673370; ISBN: 978-981962702-8;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Garg, Amit; Logeshwaran, J.; Dhanasekaran, S.; Gupta, Rishi; Singhal, Saurabh, “Energy Efficient Smart Scheduling for Multi-path Routing Using Deep Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25498.