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Exploiting an Unmanned Aerial Vehicle for Energy Efficient Data Collection in Wireless Sensor Networks

机译:开发无人飞行器以在无线传感器网络中进行节能数据收集

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In this paper, an energy efficient data collection algorithm is proposed for Wireless Sensors Networks employing a single Unmanned Aerial Vehicle (UAV-WSNs). In the system, since the position and the data amount of sensors are stochastic, the UAV as a relay scans the area along a fixed path to collect the data of all sensors. Energy saving is the main challenge to prolong the life time of the sensors. The main research of this paper is to reduce the energy consumption of all sensors by jointly optimizing the flight trajectory of UAV, the time schedule and the power of the sensor to transmit data. The original problem can be formulated as a non-convex and mixed-integer optimization problem. According to the number of sensors in the communication area of the UAV, we studied the problem by dividing it into a single sensor and multiple sensors case. Moreover, the successive convex optimization techniques and differential evolution algorithm are applied to solve the problem. Finally, we performed extensive simulations to compare our proposed algorithms with benchmark algorithms. The simulation results show that the proposed algorithm is better than the benchmark algorithm.
机译:在本文中,为使用单个无人机(UAV-WSNs)的无线传感器网络提出了一种节能数据收集算法。在该系统中,由于传感器的位置和数据量是随机的,因此作为中继的无人机将沿着固定路径扫描区域以收集所有传感器的数据。节能是延长传感器使用寿命的主要挑战。本文的主要研究是通过共同优化无人机的飞行轨迹,时间表和传感器传输数据的功率来减少所有传感器的能耗。原始问题可以公式化为非凸和混合整数优化问题。根据无人机通信区域中的传感器数量,我们通过将其分为单个传感器和多个传感器的情况来研究该问题。此外,采用了连续凸优化技术和差分进化算法来解决该问题。最后,我们进行了广泛的仿真,以将我们提出的算法与基准算法进行比较。仿真结果表明,该算法优于基准算法。

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