飛行隨意網路電量消耗最佳化模式找尋的視覺化系統

Abstract

在學長的研究中，提出了一個如何利用飛行隨意網路的情境。這個情境包含一個以四軸飛行器為節點的飛行隨意網路和一些任務。學長的研究中提出了如何分配任務的演算法，一個是簡單的貪心法，一個是藉由比較周圍裝置資訊降低電量消耗的演算法。我們想要進一步延伸這個成果，觀察演算法的結果和裝置及任務是否存在模式。藉由收集許多次的實驗資訊，再藉由視覺化的技術來觀察我們想觀察的資訊。 當實驗結果的資料量大到無法藉由直接觀察得到有用的資訊時，我們必須要借用一些工具。視覺化技術就是其中一個能夠高效率處理大量資料的技術。 深入地理解問題，提出系統需求和資料模型後，我們設計了四種視圖，分別從時間、空間和能量的角度來分析這個問題，最後歸納出不同情形下裝置的飛行模式。

In the study of seniors, we put forward a scenario of how to use FANET. This scenario contains a UAV as a node for FANET and some missions. The study of the seniors suggests how to allocate the mission of the algorithm, one is a simple greedy method, and one is by comparing the surrounding device information to reduce the power consumption. We want to further extend this result, observe the results of the algorithm and find existence of the model between mission and device. By collecting a lot of experimental information, and then by visualization of technology to observe the information we want to observe. When the amount of data in the experimental results is too large to be useful for direct observation, we must use some tools. Visualization technique is one of the technologies that can handle large amounts of data efficiently. In order to understand the problem and put forward the system requirements and data model, we design four kinds of views, from the perspective of time, space and energy to analyze the problem, and finally summed up the different circumstances of the device flight mode.