The recent advancement of smart UAVs (Unmanned Aerial Vehicles) allows its applicability to wide-range fields covering time-critical reports, emergent item delivery, virtual emotion services and so on. In particular, the surveillance can be supported by a fleet of smart UAVs in cooperation with various system components including sensors, mobile robots, autonomous vehicles and so on. Additionally, it is crucial to consider the reconfigurable capabilities of smart UAVs leveraging for rapid movement in disregarded airspace. In this paper, we introduce a reconfigurable UAV-enabled 3D sustainable surveillance in classified air-spaces to provide energy-efficient monitoring and security surveillance enforcement. We formally define a problem to maximize the reconfigurable UAV-aided sustainable surveillance efficiency with optimal height in 3D classified air-spaces avoiding excessive resource consumption and waste. To solve this issue, two different schemes of Lined-Up and Zig-Zag are proposed. Furthermore, we analyze their performances based on the gained numerical results through expanded simulations with detailed discussions.

智能无人机（Unmanned Aerial Vehicles）的最新进展使其适用于广泛的领域，包括时间紧迫的报告、紧急物品交付、虚拟情感服务等。特别是，监视可以由智能无人机机队与各种系统组件（包括传感器、移动机器人、自动驾驶车辆等）配合来支持。此外，重要的是要考虑智能无人机的可重构能力，以在无人关注的空域中快速移动。在本文中，我们介绍了一种可重构无人机在机密空域中进行的 3D 可持续监视，以提供节能监视和安全监视执法。我们正式定义了一个问题，以最大限度地提高可重构无人机辅助的可持续监视效率，并在 3D 分类空域中实现最佳高度，避免过度的资源消耗和浪费。为了解决这个问题，提出了两种不同的方案：Lined-Up和Zig-Zag 。此外，我们根据通过扩展模拟和详细讨论获得的数值结果来分析它们的性能。