Enhancing network lifetime in WSNs through coot algorithm-based energy management model
To improve the performance of Wireless Sensor Networks (WSN), this study offers a novel energy-efficient clustering and routing technique based on the Coot Optimization Algorithm (COA). This addresses issues such as high energy consumption, communication delays, and security.To ensure energy savings...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221501612500024X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832583858689671168 |
|---|---|
| author | Namita Shinde Dr. Vinod H․ Patil |
| author_facet | Namita Shinde Dr. Vinod H․ Patil |
| author_sort | Namita Shinde |
| collection | DOAJ |
| description | To improve the performance of Wireless Sensor Networks (WSN), this study offers a novel energy-efficient clustering and routing technique based on the Coot Optimization Algorithm (COA). This addresses issues such as high energy consumption, communication delays, and security.To ensure energy savings and network reliability, the fitness function evaluates cluster heads and best routes based on constraints.COOT outperforms other Metaheuristics Algorithms like Butterfly Optimization Algorithm, Genetic Algorithm, Tunicate Swarm Gray Wolf Optimization Algorithm, and Bird Swarm Algorithm in simulation with performance measurements and enhancing network functionality and protection.Key methodology points include: • Proposed a multiple constraints clustering and routing technique using COAto solve the most crucial issues that arise in WSNs. • Integrated an advanced fitness function that determines cluster head selection, and the routing path based on residual energy, delay, security, trust, distance, and link quality so that energy load is evenly distributed and credible data flow is maintained across the network and made Innovative and Effective Solution. • Proven Results Demonstrated superior network performance, achieving the lowest delay, highest network lifetime (3571 rounds) and enhanced security (0.8) and trust (0.6) compared to existing algorithms with less energy consumption, making it the most suitable solution for WSN performance improvement. |
| format | Article |
| id | doaj-art-9e803c41943443e689b075f9621d3429 |
| institution | Kabale University |
| issn | 2215-0161 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj-art-9e803c41943443e689b075f9621d34292025-01-28T04:14:39ZengElsevierMethodsX2215-01612025-06-0114103176Enhancing network lifetime in WSNs through coot algorithm-based energy management modelNamita Shinde0Dr. Vinod H․ Patil1Corresponding author.; Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune-Satara Road, Pune, 411043Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune-Satara Road, Pune, 411043To improve the performance of Wireless Sensor Networks (WSN), this study offers a novel energy-efficient clustering and routing technique based on the Coot Optimization Algorithm (COA). This addresses issues such as high energy consumption, communication delays, and security.To ensure energy savings and network reliability, the fitness function evaluates cluster heads and best routes based on constraints.COOT outperforms other Metaheuristics Algorithms like Butterfly Optimization Algorithm, Genetic Algorithm, Tunicate Swarm Gray Wolf Optimization Algorithm, and Bird Swarm Algorithm in simulation with performance measurements and enhancing network functionality and protection.Key methodology points include: • Proposed a multiple constraints clustering and routing technique using COAto solve the most crucial issues that arise in WSNs. • Integrated an advanced fitness function that determines cluster head selection, and the routing path based on residual energy, delay, security, trust, distance, and link quality so that energy load is evenly distributed and credible data flow is maintained across the network and made Innovative and Effective Solution. • Proven Results Demonstrated superior network performance, achieving the lowest delay, highest network lifetime (3571 rounds) and enhanced security (0.8) and trust (0.6) compared to existing algorithms with less energy consumption, making it the most suitable solution for WSN performance improvement.http://www.sciencedirect.com/science/article/pii/S221501612500024XEnhancing Network Lifetime in WSNs through Coot Algorithm-Based Energy Management Model |
| spellingShingle | Namita Shinde Dr. Vinod H․ Patil Enhancing network lifetime in WSNs through coot algorithm-based energy management model MethodsX Enhancing Network Lifetime in WSNs through Coot Algorithm-Based Energy Management Model |
| title | Enhancing network lifetime in WSNs through coot algorithm-based energy management model |
| title_full | Enhancing network lifetime in WSNs through coot algorithm-based energy management model |
| title_fullStr | Enhancing network lifetime in WSNs through coot algorithm-based energy management model |
| title_full_unstemmed | Enhancing network lifetime in WSNs through coot algorithm-based energy management model |
| title_short | Enhancing network lifetime in WSNs through coot algorithm-based energy management model |
| title_sort | enhancing network lifetime in wsns through coot algorithm based energy management model |
| topic | Enhancing Network Lifetime in WSNs through Coot Algorithm-Based Energy Management Model |
| url | http://www.sciencedirect.com/science/article/pii/S221501612500024X |
| work_keys_str_mv | AT namitashinde enhancingnetworklifetimeinwsnsthroughcootalgorithmbasedenergymanagementmodel AT drvinodhpatil enhancingnetworklifetimeinwsnsthroughcootalgorithmbasedenergymanagementmodel |