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Impact of drone route geometry on information collection in wireless sensor networks

机译:无人机路径几何对无线传感器网络信息收集的影响

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The recent technological evolution of drones along with the constantly growing maturity of its commercialization, has led to the emergence of novel drone-based applications within the field of wireless sensor networks for information collection purposes. In such settings, especially when deployed in outdoor environments with limited external control, energy consumption and robustness are challenging problems for the system's operation. In the present paper, a drone-assisted wireless sensor network is studied, the aim being to coordinate the routing of information (among the ground nodes and its propagation to the drone), investigating several drone trajectories or route shapes and examining their impact on information collection (the aim being to minimize transmissions and consequently, energy consumption). The main contribution lies on the proposed algorithms that coordinate the communication between (terrestrial) sensor nodes and the drone that may follow different route shapes. It is shown through simulations using soft random geometric graphs that the number of transmitted messages for each drone route shape depends on the rotational symmetry around the center of each shape. An interesting result is that the higher the order of symmetry, the lower the number of transmitted messages for data collection. Contrary, for those cases that the order of symmetry is the same, even for different route shapes, similar number of messages is transmitted. In addition to the simulation results, an experimental demonstration, using spatial data from grit bin locations, further validates the proposed solution under real-world conditions, demonstrating the applicability of the proposed approach. (C) 2020 The Authors. Published by Elsevier B.V.
机译:最近无人机的技术演变随着其商业化的不断增长的成熟,导致了用于信息收集目的的无线传感器网络领域的新型无人机的应用。在这种设置中,特别是当在外部控制有限的室外环境中部署时,能量消耗和稳健性是系统操作的具有挑战性的问题。在本文中,研究了一个无人机辅助的无线传感器网络,目的是协调信息的路由(在地面节点中的传播到无人机),研究了几种无人机轨迹或路由形状并检查它们对信息的影响集合(目标是最小化传输,从而最大限度地,能源消耗)。主要贡献在于建议的算法,该算法协调(地面)传感器节点和可遵循不同路由形状的无人机之间的通信。通过使用软随机几何图来示出,每个无人机路径形状的传输消息的数量取决于每个形状的中心周围的旋转对称性。一个有趣的结果是对称顺序越高,数据收集的传输消息的数量越低。相反,对于对称顺序相同的情况,即使对于不同的路由形状,也会传输类似数量的消息。除了仿真结果外,使用来自砂砾箱位置的空间数据的实验演示还在实际条件下验证了所提出的解决方案,展示了所提出的方法的适用性。 (c)2020作者。由elsevier b.v出版。

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