{"title":"基于分布式iLT编码的节能数据采集","authors":"Jie Yang, Zhifeng Zhao, Honggang Zhang","doi":"10.1109/ISCIT.2011.6092151","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks (WSN) is becoming large-scale. It's meaningful to gather sensor data quickly and efficiently. In this paper, we present a new approach to collect sensor data by distributed rateless coding. Rateless codes, such as Luby Transform (LT) codes have been proved possessing a very good property that receivers can decode all k original packets from arbitrary k(1+ε) encoded packets. Improved LT (iLT) codes with a new degree distribution are proposed. Each sensor packet does walks randomly, stops at a random node and selects the sensor packet of that node to exclusive-or (XOR) with an appropriate probability. The process continues until the required degree is achieved. Simulation results demonstrate that the proposed method requires less inter-communication cost to complete the encoding process. At the mean time, it also makes the data gathering much faster.","PeriodicalId":226552,"journal":{"name":"2011 11th International Symposium on Communications & Information Technologies (ISCIT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy efficient data gathering based on distributed iLT coding\",\"authors\":\"Jie Yang, Zhifeng Zhao, Honggang Zhang\",\"doi\":\"10.1109/ISCIT.2011.6092151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless sensor networks (WSN) is becoming large-scale. It's meaningful to gather sensor data quickly and efficiently. In this paper, we present a new approach to collect sensor data by distributed rateless coding. Rateless codes, such as Luby Transform (LT) codes have been proved possessing a very good property that receivers can decode all k original packets from arbitrary k(1+ε) encoded packets. Improved LT (iLT) codes with a new degree distribution are proposed. Each sensor packet does walks randomly, stops at a random node and selects the sensor packet of that node to exclusive-or (XOR) with an appropriate probability. The process continues until the required degree is achieved. Simulation results demonstrate that the proposed method requires less inter-communication cost to complete the encoding process. At the mean time, it also makes the data gathering much faster.\",\"PeriodicalId\":226552,\"journal\":{\"name\":\"2011 11th International Symposium on Communications & Information Technologies (ISCIT)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 11th International Symposium on Communications & Information Technologies (ISCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCIT.2011.6092151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 11th International Symposium on Communications & Information Technologies (ISCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2011.6092151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy efficient data gathering based on distributed iLT coding
Wireless sensor networks (WSN) is becoming large-scale. It's meaningful to gather sensor data quickly and efficiently. In this paper, we present a new approach to collect sensor data by distributed rateless coding. Rateless codes, such as Luby Transform (LT) codes have been proved possessing a very good property that receivers can decode all k original packets from arbitrary k(1+ε) encoded packets. Improved LT (iLT) codes with a new degree distribution are proposed. Each sensor packet does walks randomly, stops at a random node and selects the sensor packet of that node to exclusive-or (XOR) with an appropriate probability. The process continues until the required degree is achieved. Simulation results demonstrate that the proposed method requires less inter-communication cost to complete the encoding process. At the mean time, it also makes the data gathering much faster.