Abstract
Mobile communications networks may be required to operate in highly dynamic environments. We consider a communications network in an urban scenario where a UAV is used as a radio relay between mobile ground based nodes. The UAVs flight path is constrained by buildings such that ground based nodes will lose connectivity. We present the Opal system to generate, through multi-objective optimisation, network solutions for such a scenario. Opal is shown to develop novel behaviours which are effective in reducing network disconnection time.
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Hui, KP., Phillips, D., Kekirigoda, A., Allwright, A. (2018). Autonomous Vehicle Constrained Path Planning Using Opal for Dynamic Networks. In: Mitrovic, T., Xue, B., Li, X. (eds) AI 2018: Advances in Artificial Intelligence. AI 2018. Lecture Notes in Computer Science(), vol 11320. Springer, Cham. https://doi.org/10.1007/978-3-030-03991-2_67
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DOI: https://doi.org/10.1007/978-3-030-03991-2_67
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