Analisis Kinerja dan Keamanan Jaringan Sensor Nirkabel untuk Pemantauan Lahan Kelapa Sawit: Rancangan Penelitian

Authors

  • Muhammad Firjatullah Nur Akbar Universitas Pahlawan Tuanku Tambusai

DOI:

https://doi.org/10.59061/jsit.v6i2.1538

Abstract

Research on sensor networks in oil palm plantations tests small prototypes over short periods and rarely addresses security, while research on agricultural sensor network security is simulated on generic topologies that ignore canopy attenuation, so the two streams have developed separately. This article presents an integrated research design for analyzing wireless sensor network performance and security in oil palm land monitoring. As a research design article, its purpose is to formulate a replicable methodological framework rather than report measurements. The design combines NS-3 simulation across 36 treatment combinations replicated thirty times, yielding 1,080 runs, with twelve months of field testing on two canopy conditions using fifteen LoRa SX1278 nodes per block. Four security configurations are compared against four attack scenarios, with operational definitions specified for five performance and three security indicators. Four hypotheses are formulated, of which the interaction between topology and security configuration is the most consequential because it determines whether recommendations can be stated generally.

References

Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey. Computer Networks, 38(4), 393–422. https://doi.org/10.1016/S1389-1286(01)00302-4

Augustin, A., Yi, J., Clausen, T., & Townsley, W. M. (2016). A study of LoRa: Long range and low power networks for the internet of things. Sensors, 16(9), 1466. https://doi.org/10.3390/s16091466

Ayaz, M., Ammad-Uddin, M., Sharif, Z., Mansour, A., & Aggoune, E.-H. M. (2019). Internet-of-Things (IoT)-based smart agriculture: Toward making the fields talk. IEEE Access, 7, 129551–129583. https://doi.org/10.1109/ACCESS.2019.2932609

Butun, I., Österberg, P., & Song, H. (2020). Security of the internet of things: Vulnerabilities, attacks, and countermeasures. IEEE Communications Surveys & Tutorials, 22(1), 616–644. https://doi.org/10.1109/COMST.2019.2953364

Ferrag, M. A., Shu, L., Yang, X., Derhab, A., & Maglaras, L. (2020). Security and privacy for green IoT-based agriculture: Review, blockchain solutions, and challenges. IEEE Access, 8, 32031–32053. https://doi.org/10.1109/ACCESS.2020.2973178

Gaber, T., El-Ghamry, A., & Hassanien, A. E. (2022). Injection attack detection using machine learning for smart IoT applications. Physical Communication, 52, 101685. https://doi.org/10.1016/j.phycom.2022.101685

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), 660–670. https://doi.org/10.1109/TWC.2002.804190

Khernane, S., Bouam, S., & Arar, C. (2024). Renewable energy harvesting for wireless sensor networks in precision agriculture. International Journal of Networked and Distributed Computing, 12(1), 8–16. https://doi.org/10.1007/s44227-023-00017-6

Kour, V. P., & Arora, S. (2020). Recent developments of the internet of things in agriculture: A survey. IEEE Access, 8, 129924–129957. https://doi.org/10.1109/ACCESS.2020.3009298

Quincozes, S. E., Kazienko, J. F., & Quincozes, V. E. (2023). An extended evaluation on machine learning techniques for denial-of-service detection in wireless sensor networks. Internet of Things, 22, 100684. https://doi.org/10.1016/j.iot.2023.100684

Raza, S., Wallgren, L., & Voigt, T. (2013). SVELTE: Real-time intrusion detection in the internet of things. Ad Hoc Networks, 11(8), 2661–2674. https://doi.org/10.1016/j.adhoc.2013.04.014

Roberts, M. K., & Ramasamy, P. (2022). Optimized hybrid routing protocol for energy-aware cluster head selection in wireless sensor networks. Digital Signal Processing, 130, 103737. https://doi.org/10.1016/j.dsp.2022.103737

Ruslan, A. A., Salleh, S. M., Wan Mohd Hatta, S. F., & Sajak, A. A. B. (2021). IoT soil monitoring based on LoRa module for oil palm plantation. International Journal of Advanced Computer Science and Applications, 12(5), 231–238. https://doi.org/10.14569/IJACSA.2021.0120527

Sadowski, S., & Spachos, P. (2020). Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities. Computers and Electronics in Agriculture, 172, 105338. https://doi.org/10.1016/j.compag.2020.105338

Sharma, V., Bhardwaj, A., & Kaushik, K. (2024). Enhancing agricultural wireless sensor network security through integrated machine learning approaches. Security and Privacy, 7(5), e437. https://doi.org/10.1002/spy2.437

Surenther, I., Sridhar, K. P., & Roberts, M. K. (2023). Maximizing energy efficiency in wireless sensor networks for data transmission: A deep learning-based grouping model approach. Alexandria Engineering Journal, 83, 53–65. https://doi.org/10.1016/j.aej.2023.10.016

Tzounis, A., Katsoulas, N., Bartzanas, T., & Kittas, C. (2017). Internet of Things in agriculture, recent advances and future challenges. Biosystems Engineering, 164, 31–48. https://doi.org/10.1016/j.biosystemseng.2017.09.007

Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52(12), 2292–2330. https://doi.org/10.1016/j.comnet.2008.04.002

Zhang, J., Yan, X., & Wang, Y. (2021). Security threats and countermeasures in wireless sensor networks: A survey. Wireless Personal Communications, 121, 1–28. https://doi.org/10.1007/s11277-021-08683-x

Zhu, S., Setia, S., & Jajodia, S. (2006). LEAP+: Efficient security mechanisms for large-scale distributed sensor networks. ACM Transactions on Sensor Networks, 2(4), 500–528. https://doi.org/10.1145/1218556.1218559

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Published

2026-08-17

How to Cite

Akbar, M. F. N. (2026). Analisis Kinerja dan Keamanan Jaringan Sensor Nirkabel untuk Pemantauan Lahan Kelapa Sawit: Rancangan Penelitian. Jurnal Sains Dan Ilmu Terapan, 6(2), 73–82. https://doi.org/10.59061/jsit.v6i2.1538