Lin Sun, Xiaohong Shen, Zhengguo Liu, Hong Wang, Yifan Yuan, Haodi Mei
{"title":"Research on the Existence of Non-cooperative Underwater Acoustic Monitoring Network","authors":"Lin Sun, Xiaohong Shen, Zhengguo Liu, Hong Wang, Yifan Yuan, Haodi Mei","doi":"10.1109/ICSPCC55723.2022.9984334","DOIUrl":null,"url":null,"abstract":"The existence of Non-cooperative Underwater Acoustic Monitoring Networks(UAMNs) is a key research problem in the field of network countermeasures. Since it is difficult for our sensing nodes to directly obtain the networking situation of wireless sensor nodes in non-cooperative regions, it is a worthy research direction to judge whether they form a network by using the behavioral characteristics of each non-cooperative node. In this paper, the connectivity rate between two nodes is obtained through the information interaction between nodes and the shared link. Based on it, we use graph theory to determine the connectivity and relevance of nodes in the region. So the probability of the Underwater Acoustic Monitoring Network’s existence in a non-cooperative sensing region we can determined. Finally, a simulation experiment was carried out to verify the accuracy of the theory.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCC55723.2022.9984334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The existence of Non-cooperative Underwater Acoustic Monitoring Networks(UAMNs) is a key research problem in the field of network countermeasures. Since it is difficult for our sensing nodes to directly obtain the networking situation of wireless sensor nodes in non-cooperative regions, it is a worthy research direction to judge whether they form a network by using the behavioral characteristics of each non-cooperative node. In this paper, the connectivity rate between two nodes is obtained through the information interaction between nodes and the shared link. Based on it, we use graph theory to determine the connectivity and relevance of nodes in the region. So the probability of the Underwater Acoustic Monitoring Network’s existence in a non-cooperative sensing region we can determined. Finally, a simulation experiment was carried out to verify the accuracy of the theory.