Critical Nodes Identification: A Non-Cooperative Method for Unknown Topology Information in Ad Hoc Networks

被引:3
作者
Yue, Wenwei [1 ,2 ]
Zuo, Peiang [1 ,2 ]
Li, Wengang [1 ,2 ]
Zhang, Yao [1 ,2 ]
Zhang, Yunfeng [1 ,2 ]
Li, Changle [1 ,2 ]
Huang, Jun [3 ]
机构
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[2] Xidian Univ, Res Inst Smart Transportat, Xian 710071, Shaanxi, Peoples R China
[3] Natl Univ Def Technol, Hefei 410073, Anhui, Peoples R China
关键词
Ad hoc networks; node location informa-tion; ID generation strategy; communication range; critical nodes; COMPLEX; CONNECTIVITY; GRAPHS; SENSOR;
D O I
10.23919/JCC.2023.00.036
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The foundation of ad hoc networks lies in the guarantee of continuous connectivity. However, critical nodes, whose failure can easily destroy net-work connectivity, will influence the ad hoc network connectivity significantly. To protect the network ef-ficiently, critical nodes should be identified accurately and rapidly. Unlike existing critical node identifica-tion methods for unknown topology that identify criti-cal nodes according to historical information, this pa-per develops a critical node identification method to relax the prior topology information condition about critical nodes. Specifically, we first deduce a theorem about the minimum communication range for a node through the number of nodes and deployment ranges, and prove the universality of the theorem in a realis-tic two-dimensional scenario. After that, we analyze the relationship between communication range and de-gree value for each node and prove that the greater number of nodes within the communication range of a node, the greater degree value of nodes with high probability. Moreover, we develop a novel strategy to improve the accuracy of critical node identification without topology information. Finally, simulation re-sults indicate the proposed strategy can achieve high accuracy and low redundancy while ensuring low time consumption in the scenarios with unknown topology information in ad hoc networks.
引用
收藏
页码:217 / 232
页数:16
相关论文
共 33 条
[11]   Evaluating Reliability/Survivability of Capacitated Wireless Networks [J].
Kabadurmus, Ozgur ;
Smith, Alice E. .
IEEE TRANSACTIONS ON RELIABILITY, 2018, 67 (01) :26-40
[12]   Named Data Networking in Vehicular Ad Hoc Networks: State-of-the-Art and Challenges [J].
Khelifi, Hakima ;
Luo, Senlin ;
Nour, Boubakr ;
Moungla, Hassine ;
Faheem, Yasir ;
Hussain, Rasheed ;
Ksentini, Adlen .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2020, 22 (01) :320-351
[13]  
Kitsak M, 2010, NAT PHYS, V6, P888, DOI [10.1038/nphys1746, 10.1038/NPHYS1746]
[14]  
Kolchin V., 1978, RANDOM ALLOCATIONS
[15]   Identification of Critical Nodes in Large-Scale Spatial Networks [J].
Krishnan, Vishaal ;
Martinez, Sonia .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2019, 6 (02) :842-851
[16]   The Critical Node Detection Problem in networks: A survey [J].
Lalou, Mohammed ;
Tahraoui, Mohammed Amin ;
Kheddouci, Hamamache .
COMPUTER SCIENCE REVIEW, 2018, 28 :92-117
[17]   A Method for Ranking Critical Nodes in Power Networks Including Load Uncertainties [J].
Leite da Silva, Armando Martins ;
Jardim, Jorge Luiz ;
de Lima, Lucas Ramalho ;
Machado, Zulmar Soares, Jr. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (02) :1341-1349
[18]  
Li G, 2021, CHINA COMMUN, V18, P51, DOI 10.23919/JCC.2021.12.003
[19]   Ranking in evolving complex networks [J].
Liao, Hao ;
Mariani, Manuel Sebastian ;
Medo, Matus ;
Zhang, Yi-Cheng ;
Zhou, Ming-Yang .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2017, 689 :1-54
[20]   Vital nodes identification in complex networks [J].
Lu, Linyuan ;
Chen, Duanbing ;
Ren, Xiao-Long ;
Zhang, Qian-Ming ;
Zhang, Yi-Cheng ;
Zhou, Tao .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2016, 650 :1-63