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
[1]  
Abbas K., 2018, SCI REP-UK, V8, P1
[2]   Complex network theory in the application of optimization topology network [J].
An Baokun ;
Feng Yan .
MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II, 2014, 651-653 :1811-1815
[3]   Identifying Critical Nodes in Protein-Protein Interaction Networks [J].
Boginski, Vladimir ;
Commander, Clayton W. .
CLUSTER CHALLENGES IN BIOLOGICAL NETWORKS, 2009, :153-+
[4]  
Chen X, 2015, COMPLEX INTELL SYST, V1, P37, DOI 10.1007/s40747-016-0006-8
[5]   Design and Evaluation of Algorithms for Energy Efficient and Complete Determination of Critical Nodes for Wireless Sensor Network Reliability [J].
Dagdeviren, Orhan ;
Akram, Vahid Khalilpour ;
Tavli, Bulent .
IEEE TRANSACTIONS ON RELIABILITY, 2019, 68 (01) :280-290
[6]  
Fang X., 2016, MIS QUART
[7]  
Feng Y, 2019, CHINA COMMUN, V16, P215, DOI 10.12676/j.cc.2019.02.015
[8]   Centrality Metrics in Dynamic Networks: A Comparison Study [J].
Ghanem, Marwan ;
Magnien, Clemence ;
Tarissan, Fabien .
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2019, 6 (04) :940-951
[9]   A Comprehensive Evaluation Method of Node Effectiveness based on Multi-identity and Multi-attribute Decision-making [J].
Gong, Yu ;
Zheng, Mingchun .
PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON MANAGEMENT ENGINEERING, SOFTWARE ENGINEERING AND SERVICE SCIENCES (ICMSS 2018), 2018, :265-269
[10]  
Hu D, 2022, CHINA COMMUN, V19, P46, DOI 10.23919/JCC.2021.00.013