{"title":"Performance analysis of underwater acoustic random access networks","authors":"Andrej Stefanov, M. Stojanovic","doi":"10.1109/RED.2012.6338414","DOIUrl":null,"url":null,"abstract":"We analyze the performance of underwater acoustic random access networks. The assumption is that the nodes are distributed in the plane according to a two dimensional Poisson point process. This is a suitable model for a network of bottom mounted nodes. The node-to-node channel is modeled based on an underwater acoustic propagation path loss and fading. We provide a statistical characterization of the network interference, by taking into account the acoustic propagation characteristics, and investigate their impact on the network throughput. The derived results are valid for various fading models and traffic patterns. Numerical examples are presented that illustrate the network performance.","PeriodicalId":403644,"journal":{"name":"2012 XIII International Symposium on Problems of Redundancy in Information and Control Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 XIII International Symposium on Problems of Redundancy in Information and Control Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RED.2012.6338414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
We analyze the performance of underwater acoustic random access networks. The assumption is that the nodes are distributed in the plane according to a two dimensional Poisson point process. This is a suitable model for a network of bottom mounted nodes. The node-to-node channel is modeled based on an underwater acoustic propagation path loss and fading. We provide a statistical characterization of the network interference, by taking into account the acoustic propagation characteristics, and investigate their impact on the network throughput. The derived results are valid for various fading models and traffic patterns. Numerical examples are presented that illustrate the network performance.