## 1 Introduction
The authors investigate the non-cooperative scheme (including the single-hop and the multi-hop schemes) and the cooperative scheme (including decode forward (DF) and incremental decode and forward (IDF) schemes) based on UWB channel models. However, the simulation analysis based on the ITU-R M.2283 requirement is weak. For example, the transmitted power from the source node and the distance between the source node and destination node are not represented. [PERSON], et al. [19] show the research work of the empirical pathloss models of the aircraft wings. The path loss models are represented in terms of spar-mounted, rib-mounted, front-stringer-mounted, and rear-stringer-mounted wireless links regarding the five bands. However, the five bands are 433, 780, 868, 915, and 2400 MHz, which are different from the aircraft frequency band of the WRC decision. [PERSON] et al. [20] design a low-power high-response wireless structural health monitoring system and experimentally evaluate the performance of responsiveness and energy efficiency. However, the detailed energy consumption factors for wireless communication are not shown such as RF (radio frequency) modules. Besides, for wireless communication only the multi-hop scheme is considered. [PERSON], et al. [21] present multichannel and multihop low-power wide-area network for vibration monitoring on the aircraft, which considers the tradeoff among hardware cost, power consumption, and performance. However, the authors focus on the vibration monitoring error performance and the synchronization performance of MAC protocol. In addition, the low-powerrelationship based on multichannel and multihop can not be represented. [PERSON], et al. [22] shows the performance in high data rate wireless avionics intra-communication systems. The authors apply two kinds of modulation (QPSK and QAM)scheme by using the single-hop scheme, which is compared with interference and non-interference environment. However, it is weak to represent the performance of the quality of service (QoS) for aircraft wireless technologies. [PERSON], et al. [23] represent the feasibility test result in aircraft wireless sensor networks. The authors use a single-hop scheme for a wireless communication, which is applied to array antennae for downlink, and several types of data rate at a LOS (line-of-sight) channel environment. However, the results show the limitation because the scale of the experiment environment is small, the channel focuses on LOS, and the wireless communication schemes to compare are only two. [PERSON] et al. [24] represents the performance of a wireless sensor network architecture to monitor vibration. The author proposes an efficiency multi-hop scheme based on game theory that adjusts the wake time period of sensor node as vibration level. The proposed scheme enhances the transmission efficiency by reducing the packet loss. [PERSON] et al. [25] proposes new topology for aircraft wireless sensor networks. The author analyzes throughput performance in a few scenarios, and the proposed topology shows the high throughput compared with the low dropped data performance. [PERSON] et al. [26] design wireless sensor and evaluate it on a real aircraft specimen. However, the results are not shown regarding the energy consumption performance of aircraft wireless sensor networks. In this paper, energy consumption and throughput analysis are represented by using the beamforming and cooperative schemes in the aircraft channel environment. The main contributions of this paper are represented as follows:  
* We model the aircraft channel by referring ITU-R M.2283, which has three channel responses that are path loss, shadowing fading, and multi-path fading.