Multipath Relay (MPR) Node Selection for Collision Avoidance and Efficient Routing in Mobile Ad Hoc Network
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.4.17Keywords:
Ad Hoc Network (MANET), Multipath relay (MPR), Collision Avoidance, Efficient Routing, Packet Delivery Ratio (PDR), Throughput, End-to-End delayDimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Mobile Ad Hoc Network (MANET) are characterized by dynamic topologies, limited bandwidth, and the absence of centralized control, making reliable data transmission a significant challenge. The performance of the network is frequently deteriorated by collisions are concurrent transmissions and ineffective relay node selection. This research suggests a new method for choosing multipath relay nodes that minimises packet collisions and improves MANET overall routing efficiency.OS approach ensures optimal route diversity and low interference by dynamically assessing possible relay nodes using a composite measure that takes into account node mobility, residual energy, and link stability. The technique was compared to existing Multi Path Relay (MPR) selection algorithms through simulations using NS3.The experimental findings show that, under different network densities and mobility models, there is a significant decrease in end-to-end delay, an improvement in packet delivery ratio, and a greater throughput. These enhancements validate that the strategy is successful in preserving reliable and effective communication channels. The results possess significant implication for mission-critical and delay-sensitive MANET applications, including military communications and disaster recovery.Abstract
How to Cite
Downloads
Similar Articles
- Heikham G. Chanu, Sudha A. Raddi, Anita Dalal, Sangeeta N. Kharde, Shivani Tendulkar, Association between the socio-demographic variables of women admitted for delivery to a Tertiary Care Hospital and their maternal and neonatal outcome - A cross-sectional study , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Saba Naaz, K.B. Shiva Kumar, Integrated deep learning classification of Mudras of Bharatanatyam: A case of hand gesture recognition , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Archana Dhamotharan, Kanthalakshmi Srinivasan, Analog Circuits Based Fault Diagnosis using ANN and SVM , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- V. Infine Sinduja, P. Joesph Charles, A hybrid approach using attention bidirectional gated recurrent unit and weight-adaptive sparrow search optimization for cloud load balancing , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- A. Jabeen, AR Mohamed Shanavas, Bradley Terry Brownboost and Lemke flower pollinated resource efficient task scheduling in cloud computing , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- V. Karthikeyan, C. Jayanthi, Advancements in image quality assessment: a comparative study of image processing and deep learning techniques , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Suresh Kumar, AGRO-WASTE MANAGEMNT BY VERMICOMPOSTING USING EISENIA FETIDA AND PERIONYX SANSIBARICUS EARTHWORMS , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Mufeeda V. K., R. Suganya, Novel deep learning assisted plant leaf classification system using optimized threshold-based CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Rekha R., P. Meenakshi Sundaram, Trust aware clustering approach for the detection of malicious nodes in the WSN , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Abhishek Dwivedi, Nikhat Raza Khan, Reconfiguration of Automated Manufacturing Systems Using Gated Graph Neural Networks , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- K. Fathima, A. R. Mohamed Shanavas, TALEX: Transformer-Attention-Led EXplainable Feature Selection for Sentiment Classification , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- A. Jafar Ali, G. Ravi, D.I. George Amalarethinam, AI-Integrated Swarm-Powered Self-Scheduling Routing for Heterogeneous Wireless Sensor Networks to Maximize Network Lifetime , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- A. Jafar Ali, Dr.G. Ravi, D.I. George Amalarethinam, AI-Driven Swarm-Optimized Adaptive Routing Using Quantum-Inspired Neural Scheduling with Homomorphic Encryption , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper

