{"title":"利用渗滤原理研究二维大规模无线传感器网络的通信问题","authors":"D. Penkin, A. Yarovoy, G. Janssen","doi":"10.1109/SCVT.2010.5720460","DOIUrl":null,"url":null,"abstract":"A study on primary percolation processes taking place in a two-dimensional large-scale lattice (N×N), which represents a flat wireless sensor nano-network, has been carried out based on numerical simulations using the Monte Carlo method. The communication aspects of this nano-network, such as an average number of hops of the channel which may emerge between nodes placed on the opposite network borders, the channel integrated bit-error-probability as well as a common time of signal transfer through this channel have been investigated as well. Asymptotic dependencies of these parameters for very large network dimensions (N → ∞) have been established and determined.","PeriodicalId":344975,"journal":{"name":"2010 17th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT2010)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A study on communication aspects of two-dimensional large-scale wireless sensor networks using percolation principles\",\"authors\":\"D. Penkin, A. Yarovoy, G. Janssen\",\"doi\":\"10.1109/SCVT.2010.5720460\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A study on primary percolation processes taking place in a two-dimensional large-scale lattice (N×N), which represents a flat wireless sensor nano-network, has been carried out based on numerical simulations using the Monte Carlo method. The communication aspects of this nano-network, such as an average number of hops of the channel which may emerge between nodes placed on the opposite network borders, the channel integrated bit-error-probability as well as a common time of signal transfer through this channel have been investigated as well. Asymptotic dependencies of these parameters for very large network dimensions (N → ∞) have been established and determined.\",\"PeriodicalId\":344975,\"journal\":{\"name\":\"2010 17th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT2010)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 17th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCVT.2010.5720460\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 17th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCVT.2010.5720460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on communication aspects of two-dimensional large-scale wireless sensor networks using percolation principles
A study on primary percolation processes taking place in a two-dimensional large-scale lattice (N×N), which represents a flat wireless sensor nano-network, has been carried out based on numerical simulations using the Monte Carlo method. The communication aspects of this nano-network, such as an average number of hops of the channel which may emerge between nodes placed on the opposite network borders, the channel integrated bit-error-probability as well as a common time of signal transfer through this channel have been investigated as well. Asymptotic dependencies of these parameters for very large network dimensions (N → ∞) have been established and determined.