近年來與無人機相關的應用被廣泛研究，在不同的情境下，使用無人機支援網路環境，並透過有效的部署無人機群以及無人機之間的合作輔以網絡中繼方法，以擴展網絡通信的服務範圍，此類路由方法與新式的儲存-攜帶-傳送機制相仿，應用於大範圍無線網路的問題，因此，相對於傳統沒有無人機的高度變動網路環境，飛行的無人機群能藉由轉傳資料，快速的將訊息送至終點。

然而，目前關於行動機會網路應用於三維空間的研究尚未成熟，我們提出了資料搜集的方法藉由無人機訊息轉傳以及緩衝區管理的技術輔助，以提高訊息的傳送效率於三度空間中，我們將之命名為多台無人機藉全域訊息輔助排程及訊息丟棄策略之方法。
本研究中，我們展示了三種無人機於三度空間通訊的角色定位：傳感器無人機、運輸無人機及中心無人機，本方法有以下步驟：首先，執行設計建模中的三維空間坐標定位，包括定義其運動軌跡以及模型的建置；而後，我們將過去於耐延遲網路中針對緩衝區管理策略運用到此網路架構中；接著，當無人機輔助設備相互接觸後，為了減輕負荷並快速轉發數據，我們考慮到使用的運輸無人機的數量，將收集的資訊的路由策略選擇不同的路徑，並考慮訊息的存活時間以及緩衝區空間可最大化投放比例。最終，我們透過於機會網路的模擬器驗證我們所提出方法的效能，實驗結果顯示，本研究能
確實提高訊息的傳送率，降低了訊息的延遲時間以及整體系統的負擔，並且在整個研究步驟中，實現了仿真和分析三維空間的機會網絡性能。

The UAV application has been widely researched in the past decade. Over numerous scenarios, researchers have exploited the facility of UAVs to support the network service.
To deploy efficiently for extensible network communications, it is advantageous for using a group of UAVs that cooperate in data delivery in three-dimensional (3D) opportunistic networks. UAVs regularly adopt a novel Store-Carry-Forward (SCF) mechanism to solve data delivery in large-scale communication environments. As compared with no assistant of UAVs in a highly dynamic routing model, UAVs flying to handover data can achieve rapid data transfer to the destination. However, there are quite a few studies on supporting mobile opportunistic networking in 3D space. Our scheme on data gathering using UAV-based message forwarding technology can aid data delivery with buffer
management policy in 3D opportunistic space. This new design is named Multi-Ferry Forwarding with Extended Global Knowledge-based scheduling and drop policy (F-EGBSD),
which is intended for maximizing the delivery ratio. This study demonstrates the entire communication scenario in the air by offering the UAV sensor, UAV transporter assist,
and UAV center base station. The approach consists of several phases. Firstly, we perform the 3D coordinate location on modeling design, including movement patterns integrated into the 3D mobility model. Secondly, we extend the buffer management policy from the E-GBSD routing scheme and integrate it into 3D opportunistic networks. We then
establish a relay selection algorithm for messages forwarding when the UAV-assisted ferries are inter-contacted to offload data rapidly. Under considering the number of ferries used, Time-To-Live (TTL), and buffer space, this approach significantly maximizes the
delivery ratio. Ultimately, the simulation experiments are conducted on The Opportunistic Network Environment (ONE) simulator platform to evaluate the proposed F-EGBSD
performance as compared to the previous approach. Simulation results show that the proposed F-EGBSD achieves a better performance in terms of increasing average delivery rate and decreased average delay time. The whole study procedure leads to the creation of realistic simulation and analyzes the performance of F-EGBSD.

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