Collision-Free Sensor Data Collection using LoRaWAN and Drones

Dimitrios Zorbas, B. O’flynn
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引用次数: 9

Abstract

An open issue in Wireless Sensor Networks (WSNs) is the data collection from nodes placed at distant positions where no Internet or fixed gateway coverage is available. In this paper, we propose a reliable and energy-efficient solution using drones as mobile gateways that periodically fly over the network and collect data. We consider a point-to-point communication model between the nodes and the drones using the LoRaWAN communication protocol. Due to the nature of the default LoRaWAN MAC protocol, we modify its ALOHA-style transmission policy introducing a synchronized time-scheduled transmission mechanism to eliminate potential packet collisions. Simulation results show that a single drone can collect the data of an entire day (5760 bytes) of an area of more than $1500\times 1500m^{2}$ and 80 nodes while achieving 0% packet collisions.
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使用LoRaWAN和无人机的无碰撞传感器数据收集
无线传感器网络(wsn)中的一个开放问题是从没有互联网或固定网关覆盖的远距离节点收集数据。在本文中,我们提出了一种可靠且节能的解决方案,使用无人机作为移动网关,定期飞越网络并收集数据。我们考虑使用LoRaWAN通信协议在节点和无人机之间建立点对点通信模型。由于默认的LoRaWAN MAC协议的性质,我们修改了它的aloha式传输策略,引入了同步的时间调度传输机制,以消除潜在的数据包冲突。仿真结果表明,单架无人机可以在超过$1500\times 1500m^{2}$和80个节点的面积上收集一整天(5760字节)的数据,同时实现0%的数据包冲突。
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