Optimizing Quality of Service and Energy Efficiency in Hazardous Drone Ad-Hoc Networks (DANET) Using Kingfisher Routing Protocol (KRP)
Optimizing Quality of Service and Energy Efficiency in Hazardous Drone Ad-Hoc Networks (DANET) Using Kingfisher Routing Protocol (KRP) |
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| © 2025 by IJETT Journal | ||
| Volume-73 Issue-1 |
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| Year of Publication : 2025 | ||
| Author : J. Ramkumar, V. Valarmathi, R. Karthikeyan |
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| DOI : 10.14445/22315381/IJETT-V73I1P135 | ||
How to Cite?
J. Ramkumar, V. Valarmathi, R. Karthikeyan, "Optimizing Quality of Service and Energy Efficiency in Hazardous Drone Ad-Hoc Networks (DANET) Using Kingfisher Routing Protocol (KRP) ," International Journal of Engineering Trends and Technology, vol. 73, no. 1, pp. 410-430, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I1P135
Abstract
Communication networks in hazardous environments present additional problems to problems already encountered in terrain and environment, often unpredictable and extreme. The time and reliability of data communication for critical operations become necessary. When traditional networks fail, there is a need for real-time communication, and this is exactly the utility of Drone Ad-hoc Networks (DANET). DANET is relevant in search and rescue, surveillance, and emergency response. Routing in DANET has particularly difficult characteristics in that continuous coverage and stable communication links are hard. On top of this, high drone mobility, frequent network topology changes, and scarce power resources make it difficult to realize reliable data transmission with low power consumption simultaneously. To address them, presenting the Kingfisher Routing Protocol (KRP). The network modifies paths over time according to real-time conditions. This is a dynamic problem. Based on continuously monitored position, signal strength, and network density, the protocol dynamically reconfigures routes that maximize energy efficiency while providing Quality of Service (QoS). KRP uses advanced algorithms based on the behavior of kingfishers that maximize efficiency by making drones pick the best routes (load balancing and energy efficiency, respectively). Link failures can be detected, and recovery can be made robust through the protocol incorporation of pre- and post-mechanisms that handle them. Simulation shows that KRP achieves significant performance improvement (critical performance indicators: packet delivery ratio, latency, energy efficiency, and link stability). The enhancement of these outlines KRP's capability to enhance DANET activities within harsh environments, providing dependable and energy-efficient communication.
Keywords
Drones, Ad-hoc Networks, Disaster Management, Energy Efficiency, Routing Protocol, Kingfisher Routing Protocol.
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