PERFORMANCE EVALUATION OF WIRELESS SENSOR NETWORK ROUTING PROTOCOL FOR VOLCANO ACTIVITY MONITORIN

  • Fransiska Sisilia Mukti (1*) Institut Teknologi dan Bisnis Asia Malang
  • Juan Enrico Lorenzo (2)

  • (*) Corresponding Author
Keywords: monitoring, gunung berapi, wsn, routing, ns-2

Abstract

As a country with the most volcanoes in the world, the Indonesian government must provide accurate and up-to-date information on the activity of active volcanoes. Until 2021, only 59% of mountains were directly monitored. Monitoring volcanic activity is not an easy thing to do. Visual observation alone is not enough, and instrumental comment is needed. Wireless Sensor Network (WSN) is a new opportunity to conduct a real-time and low-cost monitoring system for volcanic activity. However, the placement of independent WSN sensors in locations that are difficult to access creates new reliability and energy consumption problems. Therefore, we need a reliable communication line design for data transmission and path determination that does not drain sensor energy. This study specifically evaluates the performance of several routing protocols on WSN (proactive, reactive, and hybrid) to provide recommendations for the best routing design for volcanic activity monitoring needs. The simulation results of 6 WSN routing protocols using the NS-2 simulator show that the proactive protocol provides the smallest delay value, and the reactive protocol shows the highest data transmission success ratio but with the best residual energy. In contrast, the hybrid protocol could maintain a stable throughput value during data transmission.

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References

Dani Prasetyo Adi, P., Arman Prasetya, D., Arifuddin, R., Puspita Sari, A., Sisilia Mukti, F., Sihombing, V., Anjar, A., Sagala, E., & Juni Yanris, G. (2021). Application of IoT-LoRa Technology and Design in irrigation canals to improve the quality of agricultural products in Batu, Indonesia. 2nd International Conference On Smart Cities, Automation & Intelligent Computing Systems (ICON-SONICS), 1–7. https://doi.org/https://doi.org/10.1109/ICON-SONICS53103.2021.9617175

Kementerian Energi dan Sumber Daya Mineral. (2022). Pusat Vulkanologi dan Mitigasi Bencana Geologi - Badan Geologi. https://vsi.esdm.go.id/

Khan, M. K. U., & Ramesh, K. S. (2019). Effect on Packet Delivery Ratio (PDR) & Throughput in Wireless Sensor Networks Due to Black Hole Attack. International Journal of Innovative Technology and Exploring Engineering, 8(12S), 428–432. https://doi.org/10.35940/ijitee.l1107.10812s19

Lara Cueva, R., Orquera, R. G., & Londoño, I. (2013). Towards a New Volcano Monitoring System Using Wireless Sensor Networks. The International Conference Series on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 1–5. www.wicom.espe.edu.ec

Lopes Pereira, R., Trindade, J., Gonҫalves, F., Suresh, L., Barbosa, D., & Vazão, T. (2014). A wireless sensor network for monitoring volcano-seismic signals. Natural Hazards and Earth System Sciences, 14(12), 3123–3142. https://doi.org/10.5194/nhess-14-3123-2014

Mukti, F. S., Junikhah, A., Putra, P. M. A., Soetedjo, A., & Krismanto, A. U. (2022). A Clustering Optimization for Energy Consumption Problems in Wireless Sensor Networks using Modified K-Means++ Algorithm. International Journal of Intelligent Engineering and Systems, 15(3), 355–365. https://doi.org/10.22266/ijies2022.0630.30

Mukti, F. S., Lorenzo, J. E., Zuhdianto, R., Junikhah, A., Soetedjo, A., & Krismanto, A. U. (2022). A Comprehensive Performance Evaluation of Proactive, Reactive and Hybrid Routing in Wireless Sensor Network for Real-Time Monitoring System. 2021 International Conference on Computer Science and Engineering (IC2SE), 1–6. https://doi.org/10.1109/ic2se52832.2021.9791992

Pamungkas, J. (2016). Desain Real-Time Monitoring Berbasis Wireless Sensor Network Upaya Mitigasi Bencana Erupsi Gunung Api. Institut Teknologi Sepuluh November.

Pella, S. I. (2018). Simulasi Dampak Parameter protokol MAC Terhadap Unjuk Kerja dan Konsumsi Energi Jaringan Sensor Nirkabel. Jurnal Media Elektro, VII(2), 50–54.

Peterson, N., Anusuya-Rangappa, L., Shirazi, B. A., Song, W., Huang, R., Tran, D., Chien, S., & LaHusen, R. (2009). Volcano Monitoring: A Case Study in Pervasive Computing. In Pervasive Computing: Innovations in Intelligent (pp. 201–230). https://doi.org/10.1007/978-1-84882-599-4_10

Susdyastama Putra, Y., Indriastuti, M. T., & Mukti, S. (2020). Optimalisasi Nilai Throughput Jaringan Laboratorium Menggunakan Metode Hierarchical Token Bucket (Studi Kasus: STMIK ASIA Malang). Jurnal Ilmiah NERO, 5(2), 83–90. https://doi.org/http://dx.doi.org/10.21107/nero.v5i2.161

Werner-Allen, G., Johnson, J., Ruiz, M., Lees, J., & Welsh, M. (2005). Monitoring volcanic eruptions with a wireless sensor network. Proceedings of the Second European Workshop on Wireless Sensor Networks, EWSN 2005, 2005, 108–120. https://doi.org/10.1109/EWSN.2005.1462003

Werner-Allen, G., Lorincz, K., Welsh, M., Marcillo, O., Johnson, J., Ruiz, M., & Lees, J. (2006). Deploying a Wireless Sensor Network on an Active Volcano. IEEE Internet Computing, 10(2), 18–25. www.computer.org/internet/

Zhang, Y. (2005). Wireless Sensor Network for Volcano Monitoring. KTH Microelectronics and Information Technology.

Published
2022-03-10
How to Cite
Mukti, F., & Lorenzo, J. (2022). PERFORMANCE EVALUATION OF WIRELESS SENSOR NETWORK ROUTING PROTOCOL FOR VOLCANO ACTIVITY MONITORIN. Jurnal Pilar Nusa Mandiri, 18(1), 87-92. https://doi.org/10.33480/pilar.v18i1.3270
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