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A Multi-objective Method for Energy-Efficient UAV Data Collection Communications
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DOI：10.1007/978-981-97-0808-6_9.png)
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Unmanned aerial vehicles (UAVs) have been widely used to assist wireless sensor communications (WSN). However, due to the limited battery capacity of UAVs, their energy consumption as well as endurance issues are in need of additional attention. In this paper, a UAV-assisted data collection system is proposed to achieve efficient data collection from sensors by UAV. Specifically, a set of UAVs departs from the base station (BS) and collects data for each set of sensors, and returns to the BS. In this system, we formulate a data transmission multi-objective optimization problem (DSMOP) to maximize the transmission rate of UAVs and minimize the total energy consumption of UAVs, and we prove that the proposed DSMOP has trade-off. An enhanced multi-objective grasshopper optimization algorithm (EMOGOA) is proposed to better solve the DSMOP. Simulation results show that the results obtained by our proposed algorithm are superior to other comparative algorithms.
Keyword:
UAV communications
wireless sensors
transmission rate
energy-efficient
multi-objective optimization
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论文数:
11
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