Journal
IEEE WIRELESS COMMUNICATIONS
Volume 27, Issue 3, Pages 132-139Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MWC.001.1900387
Keywords
Data transfer; Routing; Oceans; Synchronization; Distributed databases; Task analysis; Network architecture
Categories
Funding
- National Natural Science Foundation of China [61971206]
- China Postdoctoral Science Foundation [2019M661096]
- Fundamental Research Funds for the Central Universities [DUT19ZD206, DUT20RC(5)016]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available