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Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. (2019)
Conference Proceeding
SABRA, A., FUNG, W.-K. and CHURN, P. 2018. Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. In Correll, N., Schwager, M. and Otte, M. (eds.) Distributed autonomous robotic systems: proceedings of the 14th International distributed autonomous robotic systems symposium 2018 (DARS 2018), 15-17 October 2018, Boulder, USA. Springer proceedings in advanced robotics, 9. Cham: Springer [online], pages 109-123. Available from: https://doi.org/10.1007/978-3-030-05816-6_8

Localization in large-scale underwater swarm robotic systems has increasingly attracted research and industry communities’ attention. An optimized confidence-based localization algorithm is proposed for improving localization coverage and accuracy by... Read More about Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms..

Confidence-based underwater localization scheme for large-scale mobile sensor networks. (2018)
Conference Proceeding
SABRA, A., FUNG, W.-K. and RADHAKRISHNA, P. 2018. Confidence-based underwater localization scheme for large-scale mobile sensor networks. In Proceedings of the 2018 Marine Technology Society and Insitutute of Electrical and Electronics Engineers (MTS/IEEE) OCEANS conference (OCEANS 2018 MTS/IEEE), 22-25 October 2018, Charleston, USA. Piscataway, NJ: IEEE [online], article ID 8604878. Available from: https://doi.org/10.1109/OCEANS.2018.8604878

The absence of Global Positioning System in underwater environment predominates in the challenges of underwater vehicles navigation or sensor nodes tracking. Localization of single or few underwater vehicles has been fostered in recent years. However... Read More about Confidence-based underwater localization scheme for large-scale mobile sensor networks..

Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system. (2017)
Conference Proceeding
SABRA, A. and FUNG, W.-K. 2017. Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system. In Proceedings of OCEANS 2017, 18-21 September 2017, Anchorage, Alaska, USA. New York: IEEE [online], article number 8232185, pages 854-861. Available from: http://ieeexplore.ieee.org/document/8232185

Underwater mobile sensor node localization is a key enabling technology for several subsea missions. A novel scalable underwater localization scheme, called Best Suitable Localization Algorithm (BLSA), is proposed to dynamically fuse multiple positio... Read More about Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system..