Routing Protocol for Intelligent Unmanned Cluster Network Based on Node Energy Consumption and Mobility Optimization

被引:0
作者
Dong, He [1 ]
Yu, Baoguo [1 ]
Wu, Wanqing [1 ]
机构
[1] China Elect Technol Grp Corp CETC, Res Inst 54, State Key Lab Satellite Nav Syst & Equipment Techn, Shijiazhuang 050081, Peoples R China
关键词
high dynamic scenarios; intelligent unmanned clusters; routing protocol;
D O I
10.3390/s25020500
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Intelligent unmanned clusters have played a crucial role in military reconnaissance, disaster rescue, border patrol, and other domains. Nevertheless, due to factors such as multipath propagation, electromagnetic interference, and frequency band congestion in high dynamic scenarios, unmanned cluster networks experience frequent topology changes and severe spectrum limitations, which hinder the provision of connected, elastic and autonomous network support for data interaction among unmanned aerial vehicle (UAV) nodes. To address the conflict between the demand for reliable data transmission and the limited network resources, this paper proposes an AODV routing protocol based on node energy consumption and mobility optimization (AODV-EM) from the perspective of network routing protocols. This protocol introduces two routing metrics: node energy based on node degree balancing and relative node mobility, to comprehensively account for both the balance of network node load and the stability of network links. The experimental results demonstrate that the AODV-EM protocol exhibits better performance compared to traditional AODV protocol in unmanned cluster networks with dense node distribution and high mobility, which not only improves the efficiency of data transmission, but also ensures the reliability and stability of data transmission.
引用
收藏
页数:19
相关论文
共 47 条
  • [1] Predictive zoning of pest and disease infestations in rice field based on UAV aerial imagery
    Abd Kharim, Muhammad Nurfaiz
    Wayayok, Aimrun
    Abdullah, Ahmad Fikri
    Shariff, Abdul Rashid Mohamed
    Husin, Ezrin Mohd
    Mahadi, Muhammad Razif
    [J]. EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2022, 25 (03) : 831 - 840
  • [2] Al-Shabi M., 2023, Int. J. Commun. Netw. Inf. Secur. (IJCNIS), V14, P99, DOI [10.17762/ijcnis.v14i2.5483, DOI 10.17762/IJCNIS.V14I2.5483]
  • [3] Anitha S., 2021, Turk. J. Comput. Math. Educ. (TURCOMAT), V12, P420
  • [4] A Novel Transformer-Based IMU Self-Calibration Approach through On-Board RGB Camera for UAV Flight Stabilization
    Avola, Danilo
    Cinque, Luigi
    Foresti, Gian Luca
    Lanzino, Romeo
    Marini, Marco Raoul
    Mecca, Alessio
    Scarcello, Francesco
    [J]. SENSORS, 2023, 23 (05)
  • [5] Efficient dynamic-power AODV routing protocol based on node density
    Bamhdi, Alwi M.
    [J]. COMPUTER STANDARDS & INTERFACES, 2020, 70
  • [6] Batsoyol N, 2018, IEEE ICC
  • [7] Beghriche Abdesselem, 2022, 2022 First International Conference on Computer Communications and Intelligent Systems (I3CIS), P128, DOI 10.1109/I3CIS56626.2022.10076126
  • [8] Bhaskar V., 2022, Int. J. Recent Innov. Trends Comput. Commun, V10, P1, DOI [10.17762/ijritcc.v10i11.5772, DOI 10.17762/IJRITCC.V10I11.5772]
  • [9] Cognitive radio assisted WSN with interference aware AODV routing protocol
    Carie, Anil
    Li, Mingchu
    Marapelli, Bhaskar
    Reddy, Prakasha
    Dino, Hayat
    Gohar, Moneeb
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (10) : 4033 - 4042
  • [10] Chen J, 2017, 2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), P1912, DOI 10.1109/IAEAC.2017.8054346