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Improved Developed Distributed Energy Efficient Clustering for Precision Agriculture enabled by Wireless Sensor Networks

by F. Jibreel, A. Daniel, S. Akobre, A. Bawa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 80
Year of Publication: 2026
Authors: F. Jibreel, A. Daniel, S. Akobre, A. Bawa
10.5120/ijca2026926366

F. Jibreel, A. Daniel, S. Akobre, A. Bawa . Improved Developed Distributed Energy Efficient Clustering for Precision Agriculture enabled by Wireless Sensor Networks. International Journal of Computer Applications. 187, 80 ( Feb 2026), 9-14. DOI=10.5120/ijca2026926366

@article{ 10.5120/ijca2026926366,
author = { F. Jibreel, A. Daniel, S. Akobre, A. Bawa },
title = { Improved Developed Distributed Energy Efficient Clustering for Precision Agriculture enabled by Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2026 },
volume = { 187 },
number = { 80 },
month = { Feb },
year = { 2026 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number80/improved-developed-distributed-energy-efficient-clustering-for-precision-agriculture-enabled-by-wireless-sensor-networks/ },
doi = { 10.5120/ijca2026926366 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-02-21T01:27:55.306959+05:30
%A F. Jibreel
%A A. Daniel
%A S. Akobre
%A A. Bawa
%T Improved Developed Distributed Energy Efficient Clustering for Precision Agriculture enabled by Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 80
%P 9-14
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Routing protocols are crucial in agricultural WSNs, enabling efficient data exchange and communication. However, energy consumption is a major constraint. The Developed Distributed Energy-Efficient Clustering (DDEEC) scheme has limitations, including neglecting average distance between nodes and the Base Station (BS) and wasting of energy by idle nodes. To address this, a modified DDEEC scheme, Improved Developed Distributed Energy Efficient Clustering (IDDEEC) is proposed. The new scheme, incorporates residual energy, average energy of the network, distance between cluster head (CH) and BS, and average distance between nodes and BS in CH selection. Inter-cluster multi-hop communication and sleep/wake schemes are also introduced in the new scheme. MATLAB R2018a simulations show the proposed scheme outperforms TDEEC and DDEEC in throughput, residual energy, and network lifetime whiles DDEEC provided better stability period. However, the proposed system is still suitable for precision agriculture applications than other two schemes.

References
  1. Mishra, P., & Kulkarni, S. R. (2025). Energy-efficient routing algorithms for wireless sensor networks in smart agriculture. International Journal of Research in Electrical, Electronics and Communication Engineering, 10(1), 1-14.
  2. Mittal, M., Kobielnik, M., Gupta, S., Cheng, X., & Wozniak, M. (2022). An efficient quality of services based wireless sensor network for anomaly detection using soft computing approaches. Journal of Cloud Computing: Advances, Systems and Applications, 11, 1-21. (link unavailable) (if DOI is available)
  3. Chai, X., Wu, Y., & Feng, L. (2025). Energy-efficient scalable routing algorithm based on hierarchical agglomerative clustering for Wireless Sensor Networks. Alexandria Engineering Journal, 120, 95-105.
  4. Khalaf, O. I., Romero, C. A. T., Hassan, S., & Iqbal, M. T. (2022). Mitigating Hotspot Issues in Heterogeneous Wireless Sensor Networks. Journal of Sensors, Volume 2022, 1-14.
  5. Prince, B., Kumar, P., & Singh, S. K. (2025). Multi-level clustering and Prediction based energy efficient routing protocol to eliminate Hotspot problem in Wireless Sensor Networks. Scientific Reports, 1-21.
  6. Guo, Y., Hong, F., & Guo, Z. (2013). Duty cycling in target monitoring wireless sensor network systems. International Journal on Smart Sensing and Intelligent Systems, 6(3), 1054-1076.
  7. Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S., & Kaliaperumal, R. (2022). Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture. Agriculture, 12(10), 1745, pp. 1-16
  8. Qing, L., Zhu, Q., & Wang, M. (2006). Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Computer Communications, 29(12), 2230-2237
  9. Priyankara, S., Kinoshita, K., Tode, H., & Murakami, K. (2010). A clustering/multi-hop hybrid routing method for wireless sensor networks with heterogeneous node types. In 2010 IEEE Globecom Workshops (pp. 207-212). IEEE. doi: 10.1109/GLOCOMW.2010.5700341
  10. Saini, P., & Sharma, A. K. (2010). Energy Efficient Scheme for Clustering Protocol Prolonging the Lifetime of Heterogeneous Wireless Sensor Networks. International Journal of Computer Applications, 6(2), 30-35.(TDEEC)
  11. Elbhiri, B., Saadane, R., El fkihi, S. & Aboutajdine, D. (2010). Developed Distributed Energy-Efficient Clustering (DDEEC) for heterogeneous wireless sensor networks. In Proc. IEEE 5th International Symposium on I/V Communications and Mobile Network (pp. 1-4).
  12. Sheenam, & Kaur, R. (2015). Gateway based multi-hop distributed energy efficient clustering protocol for heterogeneous wireless sensor networks. International Journal of UbiComp, 6(4), 13-28.
  13. Sheenam. (2015). Multi-hop distributed energy efficient hierarchical clustering scheme for heterogeneous wireless sensor networks. International Journal in Foundations of Computer Science & Technology, 5(5), 9-26.
  14. Assari, Y. E., Al Fallah, S., Aasri, J. E., Arioua, M., & Oualkadi, A. E. (2020). Energy-efficient multi-hop routing with unequal clustering approach for wireless sensor networks. International Journal of Computer Networks & Communications, 12(3), 55-73. doi: 10.5121/ijcnc.2020.12304
  15. Rajab, A. (2021). Genetic algorithm-based multi-hop routing to improve the lifetime of wireless sensor networks. Engineering, Technology & Applied Science Research, 11(6), 7770-7775.
  16. Jibreel, F., Tuyishimire, E., & Daabo, M. I. (2022). An enhanced heterogeneous gateway-based energy-aware multi-hop routing protocol for wireless sensor networks. Information, 13(4), 166. doi: 10.3390/info13040166
  17. Bazar, K., & Sharma, K. (2023). Energy Efficient Multi-Hop Multipath Sub Clustering Routing Protocol for Wireless Sensor Network. International Journal of Recent Technology and Engineering, 11(6), 2277-3878.
  18. Jalalinejad, H., Hajiabadi, M. R., Rahmani Hosseinabadi, A. A., Mirkamali, S., Abraham, A., Weber, G.-W., & Parikh, J. (2024). A Hybrid Multi-Hop Clustering and Energy-Aware Routing Protocol for Efficient Resource Management in Renewable Energy Harvesting Wireless Sensor Networks. IEEE Access, 12.
  19. Jibreel, F., Abukari, Z., & Mashud, A. (2025). Enhanced zonal stable election protocol for wireless sensor network. Asia Journal of Research in Computer Science, 18(12), 55-65.
  20. El-Feky, D., El-shennawy, N., & Fahmy, M. (2019). An Energy-Efficient Sleep/Wake-up Routing Protocol for Wireless Sensor Networks. Engineering Research Journal (ERJ), 3, 25-30.
Index Terms

Computer Science
Information Sciences

Keywords

Residual energy Average distance Average energy

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