Smart City Gnosys

Smart city article details

Title Adaptive Forest Fire Optimization Algorithm For Enhanced Energy Efficiency And Scalability In Wireless Sensor Networks
ID_Doc 6246
Authors Manoharan J.S.; Vijayasekaran G.; Gugan I.; Priyadharshini P.N.
Year 2025
Published Ain Shams Engineering Journal, 16, 7
DOI http://dx.doi.org/10.1016/j.asej.2025.103406
Abstract Energy-efficient routing is a fundamental challenge in Wireless Sensor Networks (WSNs) due to constrained node energy. Traditional optimization techniques such as Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) struggle to adapt to dynamic energy variations and network topology changes, leading to suboptimal energy utilization and premature node depletion. To address these limitations, this paper introduces the Forest Fire Optimization for Energy-Aware Routing (FFO-WSN), a novel routing algorithm inspired by fire propagation dynamics. The FFO-WSN model dynamically adjusts routing paths based on real-time energy levels, prioritizing high-energy nodes while avoiding energy-depleted ones, thereby enhancing network longevity and data transmission efficiency. Extensive simulations demonstrate that FFO-WSN outperforms ACO, PSO, and other hybrid nature-inspired methods, achieving 21.8% lower energy consumption, a 26.2% increase in network lifetime, 98.1% packet delivery ratio, and 1.02 Mbps throughput while maintaining low end-to-end delay. These results confirm the scalability and resilience of FFO-WSN, making it a promising solution for IoT-based health monitoring and smart city applications. © 2025 The Authors
Author Keywords Adaptive path selection; Energy-aware routing; Forest fire optimization; IoT-based health monitoring; Network lifetime; Wireless sensor networks


Similar Articles

Id Similarity Authors Title Published
40805 View0.894Mc S.; Saraswathi D.; Deepalakshmi R.; Jemila S.J.; Sathishkumar A.Optimizing Energy-Efficient Routing In Wireless Sensor Networks Via Genetic Algorithm For Enhanced Performance2024 International Conference on Cybernation and Computation, CYBERCOM 2024 (2024)
8370 View0.864Darabkh K.A.; Amareen A.B.; Al-Akhras M.; Kassab W.K.An Innovative Cluster-Based Power-Aware Protocol For Internet Of Things Sensors Utilizing Mobile Sink And Particle Swarm OptimizationNeural Computing and Applications, 35, 26 (2023)
11959 View0.861Mutneja L.S.; Harkut D.G.; Thakar P.D.Bicc: Optimizing Sensor Network Performance Via An Efficient Bioinspired Iterative Approach With Congestion ControlLecture Notes in Networks and Systems, 962 LNNS (2025)
21568 View0.859Kaur P.; Kaur K.; Singh K.; Kim S.Early Forest Fire Detection Using A Protocol For Energy-Efficient Clustering With Weighted-Based Optimization In Wireless Sensor NetworksApplied Sciences (Switzerland), 13, 5 (2023)
23347 View0.858Manzar S.A.; Gupta S.H.; Alankar B.Energy Optimization In A Wsn For Iot ApplicationsTransforming the Internet of Things for Next-Generation Smart Systems (2021)
15953 View0.857Ramesh P.S.; Srivani P.; Mahdal M.; Sivaranjani L.; Abidin S.; Kagi S.; Elangovan M.Contextual Cluster-Based Glow-Worm Swarm Optimization (Gso) Coupled Wireless Sensor Networks For Smart CitiesSensors, 23, 14 (2023)
23343 View0.856Kaushik C.; Vibhath J.; Nagamani L.; Reddy P.A.; Reddy P.B.Energy Optimization And Optimal Routing Protocol In Wireless Sensor Networks4th International Conference on Inventive Research in Computing Applications, ICIRCA 2022 - Proceedings (2022)
40955 View0.854Rahman F.; LalnunthariOptimizing Wireless Mesh Networks For Iot Using Hybrid Genetic-Pso Algorithm2025 International Conference on Automation and Computation, AUTOCOM 2025 (2025)
6265 View0.85Swain A.S.Adaptive Iot Routing Protocols In Wireless Sensor NetworksBig Data and Computing Visions, 5, 2 (2025)
61983 View0.85Han H.; Tang J.; Jing Z.Wireless Sensor Network Routing Optimization Based On Improved Ant Colony Algorithm In The Internet Of ThingsHeliyon, 10, 1 (2024)