Low-cost communication system for explorer-class underwater remotely operated vehicle

Disaster recovery from underwater earthquake, plane crashes into the sea, and monitoring underwater cables or piping for energy purpose are underwater missions for Remotely Operated Underwater Vehicle (ROV) in ASEAN MATE 2018 Competition. Two essentials factor to perform successfully in this ROV competition are design of an efficient communication protocol system and a low-cost communication hardware. In this research, an optimal communication system between RS-232 serial communication transmission and RS-485 serial communication transmission is developed to obtain the optimal solution. Both communication system is tested in Tech_SAS ROV-Telkom University Indonesia, a microcontroller underwater ROV based which used single microcontroller to control actuator, sensor and communication, and measured the Quality of Services (QoS) for end-to-end delay and packets loss. From the the experiment and evaluation for the two schemes, shows 12.57 ms end-to-end delay, 0% data packet error and $6 RS-485 communication system are the optimal solution for Tech_SAS ROV.

[1]  Yingxue Li,et al.  Autonomous Control for Remotely Operated Vehicles , 2012 .

[2]  Edin Omerdic,et al.  Inspection-Class Remotely Operated Vehicles—A Review , 2017 .

[3]  Sajad Saeedi,et al.  AUV Navigation and Localization: A Review , 2014, IEEE Journal of Oceanic Engineering.

[4]  Sung-Joon Park,et al.  A wireless remotely operated vehicle using acoustic communication , 2012 .

[5]  Joel J. P. C. Rodrigues,et al.  Underwater Wireless Sensor Communications in the 2.4 GHz ISM Frequency Band , 2012, Sensors.

[6]  Hiroshi Yoshida.  Fundamentals of Underwater Vehicle Hardware and Their Applications , 2009 .

[7]  Ioannis Patiris.  ROV, Remote Operated Vehicle , 2015 .

[8]  Hrvoje Kozačinski,et al.  Configuration of Quality of Service Parameters in Communication Networks , 2014 .

[9]  M.J. Stanway,et al.  Design of an ROV to Compete in the 5th Annual MATE ROV Competition and Beyond , 2006, OCEANS 2006.

[10]  R.B. Ahmad,et al.  Design and development of an RS232-based ROV controller system , 2004, 2004 IEEE Region 10 Conference TENCON 2004..

[11]  R. Asokan,et al.  An Approach for Reducing the End-to-end Delay and Increasing Network Lifetime in Mobile Adhoc Networks , 2008 .

[12]  Sergio F. Ochoa,et al.  Real-Time Communication Support for Underwater Acoustic Sensor Networks , 2017, Sensors.

[13]  Filippo Campagnaro.  Design of a wireless remote control for underwater equipment , 2014 .

[14]  Michele Zorzi,et al.  Simulation of a Multimodal Wireless Remote Control System for Underwater Vehicles , 2015, WUWNet.

[15]  E. Bovio.  Autonomous Underwater Vehicles for Port Protection , 2006 .

[16]  Shlomi Arnon,et al.  Underwater optical wireless communication network , 2010 .

[17]  Heather Brundage,et al.  Designing a wireless underwater optical communication system , 2010 .

[18]  Yasin Yousif Al-Aboosi,et al.  Error Performance Analysis in Underwater Acoustic Noise With Non-Gaussian Distribution , 2018 .

[19]  Xiaoting Li.  Worst-case delay analysis of real-time switched Ethernet networks with flow local synchronization , 2013 .

[20]  Yasser M. Ahmed,et al.  Design of a New Low Cost ROV Vehicle , 2014 .

[21]  Emir Husni,et al.  Internet Protocol Based Satellite On-Board System , 2016 .

[22]  Mohd Shahrieel Mohd Aras,et al.  Problem Identification for Underwater Remotely Operated Vehicle (ROV): A Case Study , 2012 .

[24]  C. Pontbriand,et al.  An integrated, underwater optical /acoustic communications system , 2010, OCEANS'10 IEEE SYDNEY.

[25]  Shuo Pang,et al.  Development of a low-cost remotely operated vehicle for ocean exploration , 2015, OCEANS 2015 - MTS/IEEE Washington.