[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

WSNs中基于无人机的数据收集算法

  • 冯梦清
展开
  • 郑州工业应用技术学院信息工程学院, 郑州 451150

冯梦清(1990-),女,河南新郑人,讲师,硕士,研究方向:图像处理与智能算法。

收稿日期: 2020-02-18

  网络出版日期: 2025-05-30

基金资助

2020年度河南省教育厅人文社会科学研究项目(2020-ZDJF-445)

Unmanned Aerial Vehicle-based Data Collecting Algorithm in Wireless Sensor Networks

  • FENG Mengqing
Expand
  • School of Information Engineering, Zhengzhou University of Industrial Technology, Zhengzhou 451150, China

Received date: 2020-02-18

  Online published: 2025-05-30

摘要

针对无人机(unmanned aerial vehicle, UAV)的无线传感网络(wireless sensor networks, WSNs),提出基于旋转角度多址接入的数据收集(rotational angle division multiple access-based data collecting, RADM-DC)算法,旨在降低数据传输时延和网络能耗。RADM-DC算法采用旋转天线,通过多个虚拟扇形动态覆盖整个区域。并限定每个扇形内的节点数,进而降低节点传输数据碰撞概率。同时,依据信道条件调整节点传输功率,降低节点能耗。仿真结果表明,提出的RADM-DC算法缩短了数据传输时间,降低了节点能耗。

本文引用格式

冯梦清 . WSNs中基于无人机的数据收集算法[J]. 弹箭与制导学报, 2020 , 40(6) : 86 -89 . DOI: 10.15892/j.cnki.djzdxb.2020.06.020

Abstract

For unmanned aerial vehicle (UAV) based wireless sensor networks (WSNs), a rotational angle division multiple access-based data collecting (RADM-DC) was proposed in this paper, which reduce data transmission delay and network energy consumption. The RADM-DC algorithm uses a rotating antenna to dynamically cover the whole area through multiple virtual sector. Furthermore, the number of nodes in each sector is limited to reduce the collision probability of transmitted data. At the same time, the transmission power of the node is adjusted according to the channel conditions to reduce the energy consumption of the node. Simulation results show that the proposed RADM-DC algorithm shortens the data transmission time and reduces the energy consumption of nodes.

[an error occurred while processing this directive]
[1]
GHARAEI N, BAKAR K A, HASHIM S Z M, et al. Collaborative mobile sink sojourn time optimization scheme for cluster-based wireless sensor networks[J]. IEEE Sensors Journal, 2018, 18(16): 6669-6676.

[2]
江禹生, 冯砚毫, 管芳, 等. 无线传感网非测距三维节点定位算法[J]. 西安电子科技大学学报(自然科学版), 2012, 39(5):140-147.

[3]
SHAHIN N, RASHID A, KIM Y T. Hybrid slotted-CSMA/CA-TDMA for efficient massive registration of IoT devices[J]. IEEE Access:Practical Innovation, Open Solutions, 2018, 6(5): 18366-18382.

[4]
ZENG Y, ZHANG R, LIM J T. Wireless communications with unmanned aerial vehicles: opportunities and challenges[J]. IEEE Communication Magazine, 2016, 54(5): 36-42.

[5]
SAY S, INATA H, LIU J, et al. Priority-based data gathering framework in UAV-assisted wireless sensor networks[J]. IEEE Sensors Journal, 2016, 16(14): 5785-5794.

[6]
AHMED N, KANHERE S S, JHA S. On the importance of link characterization for aerial wireless sensor networks[J]. IEEE Communication Magazine, 2016, 54(5): 52-57.

[7]
MOZAFFARI M, SAAD W, BENNIS M, et al. Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage[J]. IEEE Communication Letters, 2016, 20(8): 1647-1650.

[8]
同非, 郭磊, 连豪. 基于MUSIC及其改进算法的空间信号到达方向估计方法研究[J]. 火控雷达技术, 2018, 47(2):58-62.

[9]
MOZAFFARI M, SAAD W, BENNIS M, et al. Unmanned aerial vehicle with underlaid device-to-device communications: performance and tradeoffs[J]. IEEE Transactions on Wireless Communications, 2016, 15(6): 3949-3963.

[10]
ORFANUS D, FREITAS E P D, ELIASSEN F. Self-organization as a supporting paradigm for military UAV relay networks[J]. IEEE Communication Letters, 2016, 20(4): 804-807.

文章导航

/

[an error occurred while processing this directive]