MiSREd: A Low Cost IoT-Enabled Platform Based on Heterogeneous Wireless Network for Flood Monitoring

Amin Suharjono (1), Mohd Rizal Mohd Isa (2), Muhammad Mukhlisin (3), Bambang Supriyo (4), Muhammad Anif (5), Roni Apriantoro (6), Eni Dwi Wardihani (7)
(1) Department of Electrical Engineering, Politeknik Negeri Semarang, Prof. Sudarto Street, Semarang, 50275, Indonesia
(2) Faculty of Defence Science and Technology, National Defence University of Malaysia, Sungai Besi Camp, Kuala Lumpur, 57000, Malaysia
(3) Department of Electrical Engineering, Politeknik Negeri Semarang, Prof. Sudarto Street, Semarang, 50275, Indonesia
(4) Department of Electrical Engineering, Politeknik Negeri Semarang, Prof. Sudarto Street, Semarang, 50275, Indonesia
(5) Department of Electrical Engineering, Politeknik Negeri Semarang, Prof. Sudarto Street, Semarang, 50275, Indonesia
(6) Department of Electrical Engineering, Politeknik Negeri Semarang, Prof. Sudarto Street, Semarang, 50275, Indonesia
(7) Department of Electrical Engineering, Politeknik Negeri Semarang, Prof. Sudarto Street, Semarang, 50275, Indonesia
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How to cite (IJASEIT) :
Suharjono, Amin, et al. “MiSREd: A Low Cost IoT-Enabled Platform Based on Heterogeneous Wireless Network for Flood Monitoring”. International Journal on Advanced Science, Engineering and Information Technology, vol. 13, no. 3, June 2023, pp. 1137-46, doi:10.18517/ijaseit.13.3.18296.
Motivated by an inherent difficulty of foreseeing the exact occurrence of disasters, attempts to rapidly detect and forecast associated information leading towards and in the aftermath of the disaster events can help minimize casualties and collateral damage, particularly in the rural and crowded urban environment. An emerging Internet of Things (IoT) technology is considered promising for these purposes due to Its inherent capability of capturing, sending and processing various types of environmental field data in real-time over a large geographical area. In this paper, the authors introduced MiSREd (Multi-input, Scalable, Reliable, and Easy-to-deploy) as the authors’ new low cost IoT platform envisioned to meet the needs of an integrated disaster management system. A key part of the MiSREd platform is the incorporation of heterogeneous wireless networks for improvement reliability and availability of message telemetry. Moreover, deployment of low-overhead protocols can improve the network traffic with a lower bandwidth load as a result of data reduction applied to the MQTT protocol. In order to evaluate the effectiveness of MiSREd, an IoT testbed was developed and evaluation was conducted at Western Flood Canal in Semarang, Indonesia. Data transmission testing in the backhaul using the MQTT protocol showed achievement of a transmission delay <150 ms, packet loss < 2%, jitter was around 50 ms, which belongs to the categories of excellent and good, respectively, conforming to the European Telecommunications Standards Institute (ETSI). The use of the MQTT protocol has a positive impact on the quality of data telemetry in the backhaul side.

Z. Ding, S. Jiang, X. Xu, and Y. Han, “An Internet of Things based scalable framework for disaster data management,” J. Saf. Sci. Resil., vol. 3, no. 2, pp. 136-152, Oct. 2022.

H. Hassan, M. I. Q. Mazlan, T. N. T. Ibrahim, and M. F. Kambas, “IOT System: Water Level Monitoring for Flood Management,” IOP Conf. Ser. Mater. Sci. Eng., vol. 917, no. 1, pp. 0-9, May. 2020.

W. H. Wan Hassan, A. Z. Jidin, S. A. C. Aziz, and N. Rahim, “Flood disaster indicator of water level monitoring system,” Int. J. Electr. Comput. Eng., vol. 9, no. 3, pp. 1694-1699, June. 2019.

Hanan, A. A. N. Gunawan, and M. Sumadiyasa, “Water level detection system based on ultrasonic sensors HC-SR04 and Esp8266-12 modules with telegram and buzzer communication media,” Instrum. Mes. Metrol., vol. 18, no. 3, pp. 305-309, June. 2019.

N. V. S. S. Varma, E. E. Preethi, M. R. Kumar, and R. K. Tenali, “Internet of Things Based Smart Flood Monitoring & Detecting System,” Int. J. Recent Technol. Eng., vol. 7, pp. 1335-1337, March. 2019.

J. B. Mallisetty and V. Chandrasekhar, “Internet of Things Based Real Time Flood Monitoring and Alert Management System,” Int. J. Pure Appl. Math., vol. 118, pp. 859-867, 2018.

J. G. Natividad and J. M. Mendez, “Flood Monitoring and Early Warning System using Ultrasonic Sensor,” in IOP Conference Series: Materials Science and Engineering, Yogyakarta, Indonesia, 2018, vol. 325, no. 1, p. 12020.

J. W. Simatupang and F. Naufal, “Flood Early Warning Detection System Prototype Based on IoT Network,” Internetworking Indones. J., vol. 11, pp. 17-22, 2019.

C. Moreno et al., “RiverCore: IoT Device for River Water Level Monitoring over Cellular Communications,” Sensors, vol. 19, no. 1, p. 127, Jan. 2019.

O. Mendoza-Cano et al., “Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico,” J. Hydroinformatics, vol. 23, no. 3, pp. 385-401, April. 2021.

M. A. Rahman, A. T. Asyhari, S. Azad, M. M. Hasan, C. P. C. Munaiseche, and M. Krisnanda, “A Cyber-Enabled Mission-Critical System for Post-Flood Response: Exploiting TV White Space as Network Backhaul Links,” IEEE Access, vol. 7, pp. 100318-100331, July. 2019.

L. Ortega-Gonzalez, M. Acosta-Coll, G. Piñeres-Espitia, and S. Aziz Butt, “Communication protocols evaluation for a wireless rainfall monitoring network in an urban area,” Heliyon, vol. 7, no. 6, June. 2021.

A. Suharjono, R. Apriantoro, M. Mukhlisin, A. P. Gamayuda, and A. Mahardika, “Performance Evaluation of The Sensors Accuration on River Monitoring System Based-on Heterogeneous Wireless Sensor Network,” in AIP Conference Proceedings, Surakarta, Indonesia, April. 2020.

M. Ragnoli, G. Barile, A. Leoni, G. Ferri, and V. Stornelli, “An autonomous low-power lora-based flood-monitoring system,” J. Low Power Electron. Appl., vol. 10, no. 2, May. 2020.

W. T. Sung, I. V. Devi, and S. J. Hsiao, “Early warning of impending flash flood based on AIoT,” Eurasip J. Wirel. Commun. Netw., vol. 2022, no. 1, Mar. 2022.

ETSI, “Telecommunications and Internet Protocol Harmonization Over Networks (TIPHON),” 2002.

E. Zanaj, G. Caso, L. De Nardis, A. Mohammadpour, í–. Alay, and M.-G. Di Benedetto, “Energy Efficiency in Short and Wide-Area IoT Technologies—A Survey,” Technologies, vol. 9, no. 1, p. 22, Mar. 2021..

B. S. Chaudhari, M. Zennaro, and S. Borkar, “LPWAN Technologies: Emerging Application Characteristics, Requirements, and Design Considerations,” Futur. Internet, vol. 12, no. 3, p. 46, Mar. 2020.

S. M. Mousavi, A. Khademzadeh, and A. M. Rahmani, “The role of low-power wide-area network technologies in Internet of Things: A systematic and comprehensive review,” Int. J. Commun. Syst., vol. 35, no. 3, p. e5036, Nov. 2022.

R. Apriantoro, A. Suharjono, Kurnianingsih, and I. K. A. Enriko, “Investigation of Coverage and Signal Quality of LoRaWAN Network in Urban Area,” in 2020 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM 2020), Surabaya, Indonesia, 2020, pp. 326-331.

M. A. M. Almuhaya, W. A. Jabbar, N. Sulaiman, and S. Abdulmalek, “A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions,” Electron., vol. 11, no. 1, Jan. 2022..

K. Banti, I. Karampelia, T. Dimakis, A.-A. A. Boulogeorgos, T. Kyriakidis, and M. Louta, “LoRaWAN Communication Protocols: A Comprehensive Survey under an Energy Efficiency Perspective,” Telecom, vol. 3, no. 2, pp. 322-357, May. 2022.

R. O. Andrade and S. G. Yoo, “A comprehensive study of the use of LoRa in the development of smart cities,” Appl. Sci., vol. 9, no. 22, Nov. 2019.

S. Maudet, G. Andrieux, R. Chevillon, and J. F. Diouris, “Refined node energy consumption modeling in a LoRaWAN network,” Sensors, vol. 21, no. 19, Sep. 2021.

B. Myagmardulam et al., “Performance evaluation of lora 920 mhz frequency band in a hilly forested area,” Electron., vol. 10, no. 4, pp. 1-13, Feb. 2021.

B. Mishra and A. Kertesz, “The use of MQTT in M2M and IoT systems: A survey,” IEEE Access, vol. 8, pp. 201071-201086, Nov. 2020.

S. Lee, H. Kim, D. KweonHong, and H. Ju, “Correlation analysis of MQTT loss and delay according to QoS level,” Int. Conf. Inf. Netw., Bangkok, Thailand, 2013, pp. 714-717.

M. A. Yousuf, M. M. Islam, M. S. Hosen, and M. L. Ali, “Round-Trip Time and Available Bandwidth Estimation Based Congestion Window Reduction Algorithm of MPTCP in Lossy Satellite Networks,” J. Phys. Conf. Ser., vol. 1624, no. 4, 2020.

L. Bommisetty, “Performance Analysis of TCP Queues: Effect of Buffer Size and Round Trip Time,” in 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC), Solan, India, 2021, pp. 631-635.

A. Kishor, C. Chakraborty, and W. Jeberson, “Reinforcement learning for medical information processing over heterogeneous networks,” Multimed. Tools Appl., vol. 80, no. 16, pp. 23983-24004, Mar. 2021.

R. Wulandari, “Analysis of QoS (Quality of Service) on the Internet Network (Case Study”¯: UPT Loca Test of Jampang Kulon Mining Engineering - LIPI),” J. Tek. Inform. dan Sist. Inf., vol. 2, no. 2, pp. 162-172, Aug. 2016.

A. Carreras-Coch, J. Navarro, C. Sans, and A. Zaballos, “Communication Technologies in Emergency Situations,” Electron., vol. 11, no. 7, pp. 1-31, April. 2022.

J. Cecí­lio, P. M. Ferreira, and A. Casimiro, “Evaluation of lora technology in flooding prevention scenarios,” Sensors (Switzerland), vol. 20, no. 14, pp. 1-24, July. 2020.

L. Parri, S. Parrino, G. Peruzzi, and A. Pozzebon, “Low power wide area networks (LPWAN) at sea: Performance analysis of offshore data transmission by means of loRaWAN connectivity for marine monitoring applications,” Sensors (Switzerland), vol. 19, no. 14, July. 2019.

J. O. Bennett, W. L. Briggs, and A. Badalamenti, Using and Understanding Mathematics: A Quantitative Reasoning Approach. Pearson Addison Wesley Reading, 2008.

H. Zhang et al., “Delay-reliability-aware protocol adaption and quality of service guarantee for message queuing telemetry transport-empowered electric Internet of things,” Int. J. Distrib. Sens. Networks, vol. 18, no. 5, p. 155013292210978, March. 2022..

B. Mishra, B. Mishra, and A. Kertesz, “Stress-testing mqtt brokers: A comparative analysis of performance measurements,” Energies, vol. 14, no. 18, pp. 1-20, Sept. 2021.

M. Sahu, S. Damle, and A. A. Kherani, “End-to-end uplink delay jitter in LTE systems,” Wirel. Networks, vol. 27, no. 3, pp. 1783-1800, Jan. 2021.

A. I. Zreikat and S. Alabed, “Performance Modeling and Analysis of LTE / Wi-Fi Coexistence,” Electronics, vol. 11, no. 7, pp. 1035, March. 2022.

D. Silva, L. I. Carvalho, J. Soares, and R. C. Sofia, “A Performance Analysis of Internet of Things Networking,” Appl. Sci., vol. 11, no. 4879, pp. 1-30, May. 2021.

V. Seoane, C. Garcia-Rubio, F. Almenares, and C. Campo, “Performance evaluation of CoAP and MQTT with security support for IoT environments,” Comput. Networks, vol. 197, no. July, p. 108338, July. 2021.

M. J. Faber, K. M. Van Der Zwaag, W. G. V. Dos Santos, H. R. D. O. Rocha, M. E. V. Segatto, and J. A. L. Silva, “A Theoretical and Experimental Evaluation on the Performance of LoRa Technology,” IEEE Sens. J., vol. 20, no. 16, pp. 9480-9489, April. 2020.

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