{"title":"基于(1 + 1)-EA的无线传感器网络协同传输","authors":"S. Sigg, M. Beigl","doi":"10.1109/ASWN.2008.12","DOIUrl":null,"url":null,"abstract":"With collaborative transmission we propose a novel transmission scheme that utilizes constructive interference between transmitted signals of wireless sensor nodes. Similar to cooperative transmission approaches we are able to drastically extend the transmission range of a wireless sensor network. We show that synchronization of received signal components is feasible without inter-node communication. Our approach is capable of synchronizing a virtually arbitrary number of signal components. The underlying scenario is modelled as a black-box optimization problem and is solved by a (1+1) evolution strategy. The method is optimal in the sense that any other evolutionary search approach with equal mutation probability has an expected asymptotic optimization time that is at least of the same order.","PeriodicalId":315904,"journal":{"name":"2008 Eighth International Workshop on Applications and Services in Wireless Networks (aswn 2008)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Collaborative Transmission in Wireless Sensor Networks by a (1 + 1)-EA\",\"authors\":\"S. Sigg, M. Beigl\",\"doi\":\"10.1109/ASWN.2008.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With collaborative transmission we propose a novel transmission scheme that utilizes constructive interference between transmitted signals of wireless sensor nodes. Similar to cooperative transmission approaches we are able to drastically extend the transmission range of a wireless sensor network. We show that synchronization of received signal components is feasible without inter-node communication. Our approach is capable of synchronizing a virtually arbitrary number of signal components. The underlying scenario is modelled as a black-box optimization problem and is solved by a (1+1) evolution strategy. The method is optimal in the sense that any other evolutionary search approach with equal mutation probability has an expected asymptotic optimization time that is at least of the same order.\",\"PeriodicalId\":315904,\"journal\":{\"name\":\"2008 Eighth International Workshop on Applications and Services in Wireless Networks (aswn 2008)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Eighth International Workshop on Applications and Services in Wireless Networks (aswn 2008)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASWN.2008.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Eighth International Workshop on Applications and Services in Wireless Networks (aswn 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASWN.2008.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Collaborative Transmission in Wireless Sensor Networks by a (1 + 1)-EA
With collaborative transmission we propose a novel transmission scheme that utilizes constructive interference between transmitted signals of wireless sensor nodes. Similar to cooperative transmission approaches we are able to drastically extend the transmission range of a wireless sensor network. We show that synchronization of received signal components is feasible without inter-node communication. Our approach is capable of synchronizing a virtually arbitrary number of signal components. The underlying scenario is modelled as a black-box optimization problem and is solved by a (1+1) evolution strategy. The method is optimal in the sense that any other evolutionary search approach with equal mutation probability has an expected asymptotic optimization time that is at least of the same order.