An SDN Architecture for AUV-Based Underwater Wireless Networks to Enable Cooperative Underwater Search

With the emergence of new underwater ICTs, UWNs based on AUV have become the mainstream technology for underwater search tasks. These advanced underwater searching technologies are leading to smart perceptual ocean technologies. However, to support precise multi-AUVs cooperative underwater search and provide intelligent data collection and data transfer among the AUVs, one of the challenging issues is to design a scalable network architecture capable of fine-grained control and smart underwater data routing. In this article, we employ the paradigm of SDN technology and propose an SDN-based underwater cooperative searching framework for AUV-based UWNs. In particular, we propose a software-defined beaconing framework integrating two categories of defined beacons to synchronize network information and execute network operations. Based on the software-defined beaconing framework, we introduce the USBL positioning system and propose a hierarchical localization framework to localize/track each AUV in the network. Then, we utilize the potential field theory to model the multi-AUV cooperative operation, leading to a cooperative control framework. Finally, to guarantee the potential data transfer among the AUVs, we also propose a software-defined hybrid data transfer scheduling framework. Simulation results demonstrate that our proposed scheme performs more efficiently than some existing schemes especially the distributed control policy.

[1]  Li Wei,et al.  A SDN-controlled underwater MAC and routing testbed , 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference.

[2]  Athanasios V. Vasilakos,et al.  Software-Defined Networking for Internet of Things: A Survey , 2017, IEEE Internet of Things Journal.

[3]  Rong Zheng,et al.  Localizability Judgment in UWSNs Based on Skeleton and Rigidity Theory , 2017, IEEE Transactions on Mobile Computing.

[4]  Syed Hassan Ahmed,et al.  Energy efficient chain based routing protocol for underwater wireless sensor networks , 2017, J. Netw. Comput. Appl..

[5]  Yalew Zelalem Jembre,et al.  An energy-efficient data collection protocol with AUV path planning in the Internet of Underwater Things , 2019, J. Netw. Comput. Appl..

[6]  Yuanguo Bi,et al.  A Scheme for Delay-Sensitive Spatiotemporal Routing in SDN-Enabled Underwater Acoustic Sensor Networks , 2019, IEEE Transactions on Vehicular Technology.

[7]  Hong-Yi Yu,et al.  A Long Distance Underwater Visible Light Communication System With Single Photon Avalanche Diode , 2016, IEEE Photonics Journal.

[8]  Mohsen Guizani,et al.  An AUV Location Prediction-Based Data Collection Scheme for Underwater Wireless Sensor Networks , 2019, IEEE Transactions on Vehicular Technology.

[9]  Jawad A. Salehi,et al.  Performance Studies of Underwater Wireless Optical Communication Systems With Spatial Diversity: MIMO Scheme , 2015, IEEE Transactions on Communications.

[10]  Lei Shu,et al.  Extended Crossover Model for Human-Control of Fractional Order Plants , 2017, IEEE Access.

[11]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[12]  Lutz Lampe,et al.  Bounds for Low Probability of Detection for Underwater Acoustic Communication , 2017, IEEE Journal of Oceanic Engineering.