Controlling Unmanned Surface Vehicle Using MQTT Protocol
DOI:
https://doi.org/10.47709/cnapc.v1i2.229Keywords:
unmanned surface vehicle (USV); remote; message queuing telemetry transport (MQTT); internet of thingsAbstract
Abstract- The communication system at USV is the most important part of ensuring that the USV control system runs well. Communication systems that are commonly used at USV are generally still local networks. The development of a wider range of communications is needed to improve USV scalability so that the benefits can be increased to support the concept of remote laboratory and remote surveillance. USV is generally controlled using a wireless network with a limited work area using WIFI or using another electromagnetic waves transmission. This research proposes the development control and monitoring systems of USV to be controlled over the Internet by using the message queuing telemetry transport(MQTT) Protocol. This idea makes the USV can be controlled remotely, no longer have to operate it in the field. The control speed response of rudder and motor are analyzed. Performance monitoring of the compass sensor, GPS, and cameras also showed good results. As a result, the average delay time generated is 1.6 second.
Downloads
References
A. Coelho, M. Lopes, B. Ferreira, R. Campos, M. Ricardo, “Experimental evaluation of shore to unmanned surface vehicle Wi-Fi communications“ In Proceedings of 2018 Wireless Days (WD), pp. 86-91, 2018.
A.L. Christensen, S. Oliveira, O. Postolache, M.J.o. De Oliveira, S. Sargento, P. Santana, L. Nunes, F.J. Velez, P. Sebastiao, V. Costa, “Design of Communication and Control for Swarms of Aquatic Surface Drones“ In Proceedings of International Conference on Agents and Artificial Intelligence (ICAART), pp. 548-555.
C. Viegas, A. Pavani, N. Lima, A. Marques, I. Pozzo, E. Dobboletta, V. Atencia, D. Barreto, F. Calliari, A. Fidalgo, “Impact of a remote lab on teaching practices and student learning“ Computers Education, 126, 201-216, 2018.
D. Kim, H. Kim, S. Jung, J. Koo, J. Kim, J.U Shin, H. Myung, “Development of a jellyfish reconnaissance and removal robot system using unmanned aerial and surface vehicles“ In Proceedings of 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 101-101, 2015.
G.R. Alves, A. Fidalgo, A. Marques, C. Viegas, M.C. Felgueiras, R. Costa, N. Lima, M. Castro, G. Díaz-Orueta, E.S.C. Ruiz, “Spreading remote lab usage a system—A community—A Federation“ In Proceedings of 2016 2nd International Conference of the Portuguese Society for Engineering Education (CISPEE), pp. 1-7, 2016.
J.E Corter, S.K. Esche, C. Chassapis, J. Ma, J.V Nickerson, “Process and learning outcomes from remotely-operated, simulated, and hands-on student laboratories“ Computers Education, 57, 2054-2067, 2011.
J. Jin, J. Zhang, F. Shao, Z. Lyu, D. Wang, “A novel ocean bathymetry technology based on an unmanned surface vehicle“ Acta Oceanologica Sinica, 37, 99-106, 2018.
J.R. Brinson, “Learning outcome achievement in non-traditional (virtual and remote) versus traditional (hands-on) laboratories: A review of the empirical research“, Computers Education, 87, 218-237, 2015.
J. Veers, V. Bertram, “Development of the USV multi-mission surface vehicle III“ In Proceedings of 5th International Conference on Computer Applications and Information Technology in the Maritime Industries, Oegstgeest, pp. 345-355.
J. Wang, W. Gu, J. Zhu, “Design of an autonomous surface vehicle used for marine environment monitoring“ In Proceedings of 2009 International Conference on Advanced Computer Control, pp. 405-409, 2009.
M.S Ayas, E. Sahin, İ.H. Altaş, “Performance of PSO based classical and fractional PID controllers for an unmanned surface vehicle“ In Proceedings of 2018 26th Signal Processing and Communications Applications Conference (SIU), pp. 1-4, 2018.
P. O. Hanggara, "Prototype control and monitoring system safety device from leakage ammonia at marine loading arm with comparison of Neural Network (NN) and Extreme Learning Machine (ELM) method", In Proceedings of 2017 International Symposium on Electronics and Smart Devices (ISESD), pp. 85-89, 2017.
R.A. Atmoko, A.S. Aisjah, G. Nugroho, “Analysis of Spatial Characteristic of Maritime Weather in Java Sea“In Proceeding of IPTEK Journal of Proceedings Series, 2(1). 2016.
R.A. Atmoko, R. Riantini, M.K. Hasin, “IoT real time data acquisition using MQTT protocol“ In Proceedings of Journal of Physics: Conference Series, p. 012003, 2016.
R.A. Atmoko, D. Yang, "Online Monitoring & Controlling Industrial Arm Robot Using MQTT Protocol"In Proceedings of2018 IEEE International Conference on Robotics, Biomimetics, and Intelligent Computational Systems (Robionetics ), pp. 12-16, 2018.
R.A. Atmoko, Internet of Things with JavaScript (Node.JS + Johnny-five + Socket.IO), Moko Self Publishing, Guilin, 2019.
S. Fahey, Luqi, “Unmanned vehicles for anti-submarine warfare“ In Proceedings of OCEANS 2016 MTS/IEEE , pp. 1-4, 2016.
T. Yang, S. Hsiung, C. Kuo, Y. Tsai, K. Peng, Y. Hsieh, Z. Shen, J. Feng, C. Kuo, “Development of unmanned surface vehicle for water quality monitoring and measurement“ In Proceedings of 2018 IEEE International Conference on Applied System Invention (ICASI), pp. 566-569, 2018.
T. Nasution, I. Siregar, M. Yasir, “UAV telemetry communications using ZigBee protocol“ In Proceedings of Journal of Physics: Conference Series, p. 012001, 2017.
X. Sun, G. Wang, Y. Fan, D. Mu, B. Qiu, “Collision Avoidance of Podded Propulsion Unmanned Surface Vehicle with COLREGs Compliance and Its Modeling and Identification“ IEEE Access, 6, 55473-55491, 2018.
Z. Peng, Y. Tian, D. Wang, L. Liu, “Autopilot design for a robotic unmanned surface vehicle“ In Proceedings of 2015 34th Chinese Control Conference (CCC), pp. 6116-6120, 2015.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Journal Of Computer Networks, Architecture and High Performance Computing

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.