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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | State Aware Multi Hop Routing via Digital Twin for Iot Networks |
| Authors Name: | Patel Nensi Rakeshbhai , Dr. S.K. Hadia |
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| Author Reg. ID: |
IJRTI_208281
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| Published Paper Id: | IJRTI2512019 |
| Published In: | Volume 10 Issue 12, December-2025 |
| DOI: | |
| Abstract: | The Internet of Things (IoT) has seen rapid growth and is widely used across domains like healthcare, transportation, manufacturing, and smart cities. However, managing large-scale IoT networks, particularly in terms of efficient routing, presents significant challenges due to dynamic network conditions, energy constraints, and high demand. Traditional routing protocols, such as static and distance vector routing, are inadequate for these evolving networks. A promising solution emerges through integrating Digital Twin (DT) technology, which provides a near-real-time virtual replica of physical environments, allowing for better state-aware routing strategies. The synergy between state-aware multi-hop routing and Digital Twin frameworks to enhance performance and energy efficiency in IoT networks. Digital Twins simulate real-time network conditions, including device power, traffic status, and potential failures, enabling adaptive routing policies that respond to environmental changes. Multi-hop routing improves network resilience and connectivity but requires integration with real-time state information to reach its full potential. Metaheuristic optimization algorithms like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO) are used to optimize routing paths dynamically, considering both static and dynamic network features, thereby improving throughput and reducing energy consumption. Security is a crucial consideration for IoT networks, as these systems are vulnerable to various threats due to their open deployment. By embedding security features within the Digital Twin framework, potential security issues can be predicted and mitigated before they impact the network. The paper also discusses the use of drones in IoT deployments, especially in challenging environments where traditional infrastructure is lacking, and highlights the role of Digital Twins in adapting routing strategies for such scenarios. |
| Keywords: | Digital Twin (DT), IoT Networks, State-Aware Multi-Hop Routing, Metaheuristic Optimization, Particle Swarm Optimization, Genetic Algorithm, Ant Colony Optimization, Hybrid Models, Deep Learning, Security, IoT Device Resource Management, Energy Efficiency. |
| Cite Article: | "State Aware Multi Hop Routing via Digital Twin for Iot Networks", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a138-a147, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512019.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2512019
Registration ID:208281
Published In: Volume 10 Issue 12, December-2025
DOI (Digital Object Identifier):
Page No: a138-a147 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2512019 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2512019 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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