Synchronous rendezvous technique for multi-vehicle mine countermeasure operations

Advantages of multi-vehicle network over single autonomous underwater vehicle (AUV) platform include extended coverage area, potential cost and time efficiency, and more robust performance. A common issue that slows advancement in the field is the limited available communication between the platforms. The approach we propose is based on assigning a sequence of rendezvous points (RPs) where the vehicles can meet and exchange information. The work we present in this paper applies mainly to mine countermeasure (MCM) and suggests that despite the disadvantage of time to allow for the vehicles to reach the RPs, there are techniques that can minimise the losses and provide advantages such as easier coordination and access point for operator monitoring and system modifications.

[1]  N.M. Patrikalakis,et al.  Path Planning of Autonomous Underwater Vehicles for Adaptive Sampling Using Mixed Integer Linear Programming , 2008, IEEE Journal of Oceanic Engineering.

[2]  Thomas R. Collins,et al.  An implementation of ROS on the Yellowfin autonomous underwater vehicle (AUV) , 2011, OCEANS'11 MTS/IEEE KONA.

[3]  Paolo Braca,et al.  Cognitive multistatic AUV networks , 2014, 17th International Conference on Information Fusion (FUSION).

[4]  Jim Kurose,et al.  A survey of practical issues in underwater networks , 2007 .

[5]  Sonia Martínez,et al.  Robust rendezvous for mobile autonomous agents via proximity graphs in arbitrary dimensions , 2006, IEEE Transactions on Automatic Control.

[6]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.

[7]  Gaurav S. Sukhatme,et al.  Constraint-induced formation switching for adaptive environmental sampling , 2015, OCEANS 2015 - Genova.

[8]  Jiejun Kong,et al.  The challenges of building mobile underwater wireless networks for aquatic applications , 2006, IEEE Network.

[9]  Jiejun Kong,et al.  Building underwater ad-hoc networks and sensor networks for large scale real-time aquatic applications , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[10]  Tucker R. Balch,et al.  Naval Mine Countermeasure Missions , 2008, IEEE Robotics & Automation Magazine.

[11]  David M. Lane,et al.  Improving the coordination efficiency of limited-communication multi–autonomus underwater vehicle operations using a multiagent architecture , 2010 .

[12]  L. Freitag,et al.  A Shallow Water Acoustic Network for Mine Countermeasures Operations with Autonomous Underwater Vehicles , 2005 .

[13]  Vincent Nguyen,et al.  Next Generation Mine Countermeasures for the Very Shallow Water Zone in Support of Amphibious Operations , 2012 .