A Novel Clustering-Based Scheme for Wildfire Monitoring in Flying Ad Hoc Networks

Crossmark

Article Sidebar

Page Numbers: 111-124
Download PDF
Published: Jan 3, 2025
Digital Object Identifier: 10.58578/mikailalsys.v3i1.4512
Save this to:
Save to Mendeley Download RIS

Article Metrics:
Viewed: 306 times
Downloaded: 195 times
Article can trace at:

Author Fee:
Free Publication Fees for Foreign Researchers (USD 0.00)
Check for article on SINTA:

LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers

Connected Papers:
Connected Papers


Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.


Authors:
Samson Bitrus Visa1*, Caleb Gasin Sunday2, Abubakar Abdulkadir3
Copyright :

Authors retain copyright and grant the journal right of first publication.

Explore Our Journals
Find the journal that best fits your research. If this journal does not match your manuscript’s scope, explore our portfolio below to select a more suitable publication venue.

Main Article Content

Samson Bitrus Visa
Ahmadu Bello University Zaria, Kaduna State, Nigeria
Caleb Gasin Sunday
Ahmadu Bello University Zaria, Kaduna State, Nigeria
Abubakar Abdulkadir
Federal Polytechnic Bauchi, Bauchi State, Nigeria

Abstract

This study addresses energy consumption limitations and network overhead in cluster formation within Flying Ad Hoc Networks (FANETs), a type of Wireless Sensor Network (WSN) commonly used for wildfire monitoring. FANETs consist of mobile nodes, represented by Unmanned Aerial Vehicles (UAVs), communicating in a self-organized manner, with clustering playing a crucial role in improving scalability and resource management. This work proposes an Energy Efficient Wildfire Monitoring Scheme (EEWMS) to optimize Cluster Head (CH) selection and reduce the energy costs of cluster formation. The scheme incorporates node remaining energy, trust level, energy consumption, base station proximity, mobility, and CH coverage into a fitness function for intelligent CH selection. EEWMS was validated through simulations in the MATLAB environment, comparing its performance against existing techniques, specifically EE-SS, using metrics including energy consumption, network lifespan, and cluster formation time. The results demonstrate that EEWMS significantly enhances FANET performance, reducing cluster building time by 10.16%, increasing cluster lifetime by 6.96% and improving energy efficiency by 10.25%. These improvements underscore EEWMS's effectiveness in enhancing real-time wildfire monitoring by improving network responsiveness, extending operational periods, and ensuring reliable data transmission. The findings provide a robust solution to energy and scalability challenges, making FANETs more efficient and reliable for emergency response applications.

Keywords:
Share Article:

Citation Metrics:

Scopus

Downloads

Download data is not yet available.

Citation Metrics & Similar Scopus Articles

Data source Crossref
0
citations
Citation counts are source-specific and may differ because database coverage, reference matching, and update schedules are different. Counts are not added together. Crossref values represent citation links registered and matched by Crossref.
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
  1. Wang Y. (2027)
    Conservative Three-Level Linearized Finite Difference Schemes for the Rosenau-KdV Equation
    Advances in Applied Mathematics and Mechanics, 19(1), 325-356
  2. Engel W.E. (2027)
    “Whose Death Killed Death, and Took Away His Sting”: Aemilia Lanyer-s Subtle Art of Death in Salve Deus Rex Judaeorum
    Explorations in Renaissance Culture, 52(1), 148-177
  3. Buasen J.A. (2027)
    Institutional underspending in a state university: Managerial constraints and implications for organizational development
    Multidisciplinary Science Journal, 9(1)

Article Details

How to Cite
Visa, S. B., Sunday, C. G., & Abdulkadir, A. (2025). A Novel Clustering-Based Scheme for Wildfire Monitoring in Flying Ad Hoc Networks. Journal of Multidisciplinary Science: MIKAILALSYS, 3(1), 111-124. https://doi.org/10.58578/mikailalsys.v3i1.4512

Creative Commons License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

References

Abdulhae, O. T., Mandeep, J. S., & Islam, M. (2022). Cluster-based routing protocols for flying ad hoc networks (FANETs). IEEE access, 10, 32981-33004. Doi: 10.1109/ACCESS.2022.3161446

Ajayi, O. O., Oguntunde, P. G., & Abiodun, B. J. (2019). Spatio-temporal analysis of forest fires and burned areas in Nigeria using MODIS active fire and burned area products. Global Journal of Environmental Science and Management, 5(1), 1–16.

Bakare, H. O., & Adewumi, A. A. (2022). Assessment of wildfire management strategies and their effectiveness in Nigerian protected areas: A review. Environmental Management and Sustainable Development, 11(2), 45–62.

Bharany, S. (2022). Energy-efficient clustering protocol for FANETS using moth flame optimization. Sustainability, 14(10), 6159.

Bharany, S. (2022). Wildfire monitoring based on energy-efficient clustering approach for FANETS. Drones, 6(8).

Gupta, G. P., & Jha, S. (2018). Integrated clustering and routing protocol for wireless sensor networks using cuckoo and harmony search-based metaheuristic techniques. Engineering Applications of Artificial Intelligence, 68, 101-109.

Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660.

Huang, J., Li, T., & Shi, Z. (2022). An uneven annulus sector grid-based energy-efficient multi-hop routing protocol for wireless sensor networks. Peer-to-Peer Networking and Applications, 1-17. 10.1007/s12083-021-01261-9

Ibrahim, M. A., & Lamidi, Y. (2021). Challenges and prospects of forest fire management in Nigeria: A systematic review. Journal of Forestry Research and Management, 18(2), 78–94.

Jibreel, F., Anwar, F., & Abdulhasan, R. (2022). An enhanced heterogeneous gateway-based energy-aware multi-hop routing protocol for wireless sensor networks. Information, 13(4), 166.

Mohammed, S. O., Gajere, E. N., & Eguaroje, O. E. (2018). Spatio-temporal analysis of the impact of forest fires on wildlife habitat in Yankari Game Reserve, Nigeria. Environmental Monitoring and Assessment, 190(8), 469.

Oladele, N. O., & Braimoh, A. K. (2021). Traditional fire management practices and their role in savanna conservation: A case study from northern Nigeria. Land Use Policy, 105, 105394.

Shanmugapriya, T., & Kousalya, K. (2023). Cluster Head Selection and Multipath Routing Based Energy Efficient Wireless Sensor Network. Intelligent Automation & Soft Computing, 36(1). https://doi.org/10.32604/iasc.2023.032074

Usman, B. A., & Abdulhamid, A. (2020). Indigenous knowledge and modern approaches to fire management in Nigerian savannas: A review of current practices. African Journal of Environmental Science and Technology, 14(6), 157–169.