Bae Mungyu, Yoo Seungho, Jung Jongtack, Park Seongjoon, Kim Kangho, Kim Joon Yeop Lee, Kim Hwangnam
School of Electrical Engineering, Korea University, Seoul, 02841, Korea.
Sensors (Basel). 2018 Feb 19;18(2):624. doi: 10.3390/s18020624.
Vast applications and services have been enabled as the number of mobile or sensing devices with communication capabilities has grown. However, managing the devices, integrating networks or combining services across different networks has become a new problem since each network is not directly connected via back-end core networks or servers. The issue is and has been discussed especially in wireless sensor and actuator networks (WSAN). In such systems, sensors and actuators are tightly coupled, so when an independent WSAN needs to collaborate with other networks, it is difficult to adequately combine them into an integrated infrastructure. In this paper, we propose drone-as-a-gateway (DaaG), which uses drones as mobile gateways to interconnect isolated networks or combine independent services. Our system contains features that focus on the service being provided in the order of importance, different from an adaptive simple mobile sink system or delay-tolerant system. Our simulation results have shown that the proposed system is able to activate actuators in the order of importance of the service, which uses separate sensors' data, and it consumes almost the same time in comparison with other path-planning algorithms. Moreover, we have implemented DaaG and presented results in a field test to show that it can enable large-scale on-demand deployment of sensing and actuation infrastructure or the Internet of Things (IoT).
随着具有通信能力的移动设备或传感设备数量的增加,大量的应用程序和服务得以启用。然而,由于各个网络并非通过后端核心网络或服务器直接连接,管理这些设备、整合网络或跨不同网络组合服务已成为一个新问题。这个问题已经并且仍在无线传感器和执行器网络(WSAN)中被特别讨论。在这样的系统中,传感器和执行器紧密耦合,所以当一个独立的WSAN需要与其他网络协作时,很难将它们充分组合成一个集成的基础设施。在本文中,我们提出了无人机即网关(DaaG),它使用无人机作为移动网关来互连孤立的网络或组合独立的服务。我们的系统包含一些功能,这些功能按照重要性顺序专注于所提供的服务,这与自适应简单移动汇聚节点系统或延迟容忍系统不同。我们的仿真结果表明,所提出的系统能够按照服务的重要性顺序激活执行器,该执行器使用单独传感器的数据,并且与其他路径规划算法相比,它消耗的时间几乎相同。此外,我们已经实现了DaaG并在现场测试中展示了结果,以表明它能够实现传感和驱动基础设施或物联网(IoT)的大规模按需部署。