Robotic networks, particularly of unmanned aerial vehicles (UAVs), are benefiting from increased on-board computing capabilities. The aim of our work is to minimize the total communication energy required by a UAV-assisted network to achieve certain mobility and data throughput objectives. We capture the full cost of communication by defining communication energy as the sum of transmission energy and propulsion energy used for the purpose of facilitating transmission. Simulation results show how joint optimization of mobility and transmission schemes results in significant energy savings and increased network capacity.
Energy-Optimal Control in Mobile Aerial Relay-Assisted Networks / Faqir, O. J.; Gunduz, D.; Kerrigan, E. C.. - (2018), pp. 100-100. (Intervento presentato al convegno UKACC 12th International Conference on Control, CONTROL 2018 tenutosi a gbr nel 2018) [10.1109/CONTROL.2018.8516813].
Energy-Optimal Control in Mobile Aerial Relay-Assisted Networks
D. Gunduz;E. C. Kerrigan
2018
Abstract
Robotic networks, particularly of unmanned aerial vehicles (UAVs), are benefiting from increased on-board computing capabilities. The aim of our work is to minimize the total communication energy required by a UAV-assisted network to achieve certain mobility and data throughput objectives. We capture the full cost of communication by defining communication energy as the sum of transmission energy and propulsion energy used for the purpose of facilitating transmission. Simulation results show how joint optimization of mobility and transmission schemes results in significant energy savings and increased network capacity.
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