{"title":"Prediction of Percentage Data Packet Loss Based Multipath Transmission of Wireless Sensor Networks","authors":"Feng Cui, C. Wang","doi":"10.1109/IMCCC.2015.17","DOIUrl":null,"url":null,"abstract":"Depending on the operational environment of wireless sensor networks, data packet loss happens when parameters changing of net. This paper presents a method to predict the percentage of data packet loss (DPL) by artificial neural networks. The percentage of DPL is presented as the path selecting probability of transmission path to achieving reliable multipath transmission. By comparing with the FEC coding multi-path transmission strategy, this method is proved to present satisfactory simulation result.","PeriodicalId":438549,"journal":{"name":"2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2015.17","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
Depending on the operational environment of wireless sensor networks, data packet loss happens when parameters changing of net. This paper presents a method to predict the percentage of data packet loss (DPL) by artificial neural networks. The percentage of DPL is presented as the path selecting probability of transmission path to achieving reliable multipath transmission. By comparing with the FEC coding multi-path transmission strategy, this method is proved to present satisfactory simulation result.