Performance Analysis Framework for Dynamic AODV Protocols in MANETs
Abstract
Mobile Ad Hoc Networks (MANETs) represent a decentralized networking paradigm in which mobile nodes dynamically establish communication without fixed infrastructure. Among the routing protocols designed for MANETs, the Ad hoc On-Demand Distance Vector (AODV) protocol remains one of the most extensively studied due to its reactive routing mechanism and adaptability to dynamic topologies. However, increasing node mobility, security threats, energy constraints, and Quality of Service (QoS) requirements have motivated the development of multiple AODV variants. This study presents a performance analysis framework for dynamic AODV protocols in MANETs through a comprehensive review and synthesis of existing enhancements. The framework evaluates routing efficiency using packet delivery ratio, end-to-end delay, routing overhead, energy consumption, route stability, and security resilience. Comparative examination of path accumulation, geocast integration, trust-based routing, intrusion detection, energy-aware optimization, and mesh-network adaptations demonstrates that no single AODV variant satisfies all performance objectives simultaneously. The findings indicate that adaptive routing approaches combining security awareness, energy efficiency, and topology responsiveness provide superior network performance under highly dynamic conditions. The proposed analytical framework offers guidance for future protocol design and optimization in MANET environments.
Keywords
References
Most read articles by the same author(s)
- Rizky Pratama, Siti Rahmawati, CombiScale: A Large Language Model Framework for Scalable Combinatorial Constraint Solving , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
Similar Articles
- Bekzod Karimov, Dilnoza Akhmedova, Robotics, Artificial Intelligence, and Sustainability: A Framework for Next-Generation Construction Management , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Aleksandar Iliev, Dr. Elena Stojanovsk, Systematic Analysis of Deep Learning Models for Performance Assessment , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Julian Thorne, The Interconnected Frontier of Systemic Risk: Integrating Cost-Benefit Analysis, Cybersecurity Governance, and Corporate Valuation in the Modern Regulatory Landscape , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Paul Hathaway, A Comparative Analysis of Data-Driven Decision Support Systems: Bridging Clinical Epidemiology, Public Health Informatics, And Predictive E-Commerce Analytics in The Era of Big Data , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Emily Chen, Improving Economic Results by Implementing Structured Administrative Governance , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Sneha Reddy, Optimizing Complex Processing Ecosystems using Event-Centric Approaches for Enhanced Durability , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 04 (2025): Volume 02 Issue 04
- Andras Varga, A Socio-Technical Framework for Error BudgetâDriven Reliability Governance in Cloud-Native and Edge-Integrated Distributed Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Simone Marquez-Rodriguez, Artificial Intelligence-Driven Predictive Risk Analytics and Automation in Construction Project Management: Integrating Machine Learning, Computer Vision, And Data Intelligence for Safer and More Efficient Infrastructure Development , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Clara Engelhardt, Resilient and Secure Time-Sensitive Architectures for Safety-Critical Cyber-Physical Systems: Integrating Predictability, Networking Standards, And Fault-Tolerant Design , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Alistair J. Sterling, Architectural Frameworks for Multimodal Learning Analytics and Autonomic System Feedback: Integrating Physiological, Inertial, And Temporal Data for Enhanced Skill Acquisition , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
You may also start an advanced similarity search for this article.