  This paper presents a new strategy for simultaneously reducing energy
consumption, transmission delays, and bit error rate in Unmanned Aerial Vehicle
UAV networks. A UAV is fitted with a wireless Bidirectional Relay BR to enable
coverage network extension and increase transmission throughput. The downside
of the BR advantages is the delay in data transmission caused by the UAV
movement. A consequence of this delay is increased total energy consumption,
causing further degradation in bit error rate performance, especially at high
SNR levels. In wireless communication, the trade-off between delay and energy
consumption is, fortunately, possible to improve performance. Therefore, this
study aims to enhance UAV network performance by reducing energy consumption,
data transmission delay, and bit error rate. A multi-objective algorithm is
employed to generate an adaptive optimal energy allocation strategy based on
the balance between energy consumption and transmission delays. The results of
theoretical analysis are illustrated with several examples. As herein
demonstrated, the proposed solution effectively balances delay and energy
efficiency in a customised system design and improves the bit error rate in UAV
networks
