无人机数据采集网络中开槽CSMA/CA的性能分析

Chunlei Sun, X. Wen, Zhaoming Lu, Xuqing Liu, Wenpeng Jing, Zhiqun Hu
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引用次数: 4

摘要

近年来,无人机(UAV)在无线传感器网络(WSN)中辅助数据采集受到越来越广泛的关注。考虑无人机的持续移动,研究了基于无人机的wsn中开槽CSMA/CA的性能评估和优化分析模型。与传统的wsn不同,无人机覆盖的活动节点数量是可变的,因为无人机的移动性和到达传感器节点的不连续数据包。此外,多普勒频移也会降低网络的吞吐量性能。首先,创新性地构造了一组递归方程,提出了一种求解覆盖节点数随时间变化序列的算法。然后,定义了考虑MAC层信道争用和物理层误码率的期望吞吐量来评估网络性能。数值分析表明,信标帧周期、无人机飞行速度、节点密度和数据包数对网络性能有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of Slotted CSMA/CA in UAV-Based Data Collection Network
Recently, unmanned aerial vehicle (UAV) assisting data collection in wireless sensor network (WSN) has attracted increasingly wide attentions. This paper focuses on the analytical model to evaluate and optimize the performance of slotted CSMA/CA in UAV-based WSNs considering the continuous mobility of UAV. Contrary to the traditional WSNs, the number of active nodes covered by UAV is variable due to both the mobility of UAV and the discontinuous packet arriving at sensor nodes. In addition, the Doppler shift will also degrade the network throughput performance. Firstly, we innovatively formulate a group of recursion equations and propose an algorithm to obtain the sequence of covered node number varying with time. Then, an expected throughput considering both the channel contention in MAC layer and the bit error rate in physical layer is defined to evaluate the network performance. Numerical analyses show the significant influences on the network performance made by the cycle of beacon frame, the flying speed of UAV, the density of nodes and the number of packets.
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