In areas that demand short-term Internet connectivity, like events and mobile offices, it is not feasible to have a permanent wireless Internet infrastructure. To provide broadband Internet access to temporary clients, we propose the use of flying networks. These networks need to be carefully managed, mainly due to the limitation on their nodes’ battery capacity. Considering these issues, we introduce a new Location and Positioning Optimization Technique for Flying Networks (LoPoFly). LoPoFly includes two modules: (i) location that uses the Deterministic Annealing (DA) metaheuristic to find a location where a flying node is required based on client distribution and (ii) positioning that manages relocation and exchange of flying nodes. To the best of our knowledge, this is the first approach that employs the DA metaheuristic to manage the flying networks covering restrictions related to energy, replacement, communication, and mobility together. Through simulations, we analyze the performance of LoPoFly in two different mobility scenarios. The results show that in both scenarios, LoPoFly mitigates the number of required flying nodes, even serving a higher number of clients.

在需要短期Internet连接的区域（例如活动和移动办公室），建立永久的无线Internet基础结构是不可行的。为了向临时客户提供宽带Internet访问，我们建议使用飞行网络。这些网络需要仔细管理，主要是由于其节点的电池容量受到限制。考虑到这些问题，我们引入了一种新的飞行网络定位优化技术（LoPoFly）。LoPoFly包括两个模块：（i）使用确定性退火（DA）元启发式算法的位置，以根据客户端分布查找需要飞行节​​点的位置；以及（ii）管理飞行节点的重新定位和交换的位置。据我们所知，这是第一种采用DA元启发式方法管理飞行网络的方法，该网络涵盖了与能源，更换，通信和移动性相关的限制。通过仿真，我们分析了LoPoFly在两种不同的移动方案中的性能。结果表明，在两种情况下，LoPoFly都减少了所需的飞行节点的数量，甚至为更多的客户提供服务。