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Border surveillance monitoring using Quadcopter UAV-Aided Wireless Sensor Networks

机译:使用Quadcopter进行边防监视 无人机辅助的无线传感器网络

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摘要

In this paper we propose a novel cooperative border surveillance solution, composed of a Wireless Sensor Network (WSN) deployed terrestrially to detect and track trespassers, and a set of lightweight unmanned aircraft vehicles (UAVs) in the form of quadcopters that interact with the deployed WSN to improve the border surveillance, the detection and investigation of network failures, the maintenance of the sensor network, the tracking of trespasser, the capture and transmission of realtime video of the intrusion scene, and the response to hostage situations. A heuristic-based scheduling algorithm is described to optimize the tracking mission by increasing the rate of detected trespassers spotted by the quadcopters. Together with the design of the electrical, mechanical and software architecture of the proposed VTail quadcopter, we develop in this paper powerless techniques to accurately localize terrestrial sensors using RFID technology, compute the optimal positions of the new sensors to drop, relay data between isolated islands of nodes, and wake up sensors to track intruders. The developed VTail prototype is tested to provide valid and accurate parameters’ values to the simulation. The latter is conducted to evaluate the performance of the proposed WSN-based surveillance solution.
机译:在本文中,我们提出了一种新颖的协作式边界监视解决方案,该解决方案由部署在地面上以检测和跟踪侵入者的无线传感器网络(WSN),以及一组以与部署者互动的四轴飞行器形式的轻型无人飞行器(UAV)组成WSN改进了边界监视,网络故障的检测和调查,传感器网络的维护,入侵者的跟踪,入侵现场实时视频的捕获和传输以及对人质情况的响应。描述了一种基于启发式的调度算法,可通过增加四轴飞行器发现的入侵者的比率来优化跟踪任务。结合拟议的VTail四轴飞行器的电气,机械和软件体系结构的设计,我们在本文中开发了无能为力的技术,可以使用RFID技术精确定位地面传感器,计算新传感器的最佳位置,以便在分离的孤岛之间进行数据降落,中继数据节点,并唤醒传感器以跟踪入侵者。经过测试的开发的VTail原型可以为仿真提供有效和准确的参数值。进行后者是为了评估所提出的基于WSN的监视解决方案的性能。

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