{"title":"物联网射频信道功能计算","authors":"S. Sigg, P. Jakimovski, M. Beigl","doi":"10.1109/IOT.2012.6402311","DOIUrl":null,"url":null,"abstract":"We consider the calculation of mathematical functions at the time of wireless superimposition of data sequences in IoT environments. IoT devices will be heavily resource limited, possibly parasitic or passive powered nodes. Although restricted in their computational capabilities, such nodes draw on a virtually unlimited power source. We exploit this property by trading computational load for communication load. In particular, we present a communication scheme by which mathematical computations can be executed at the time of wireless transmission. This transmission scheme enables the execution of complex computations by a network of resource restricted, cooperating nodes at a computational load below the operation's computational complexity. We derive the scheme analytically, explore its feasibility for dense networks in mathematical simulations and demonstrate its practicability in a case study with 15 nodes.","PeriodicalId":142810,"journal":{"name":"2012 3rd IEEE International Conference on the Internet of Things","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Calculation of functions on the RF-channel for IoT\",\"authors\":\"S. Sigg, P. Jakimovski, M. Beigl\",\"doi\":\"10.1109/IOT.2012.6402311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the calculation of mathematical functions at the time of wireless superimposition of data sequences in IoT environments. IoT devices will be heavily resource limited, possibly parasitic or passive powered nodes. Although restricted in their computational capabilities, such nodes draw on a virtually unlimited power source. We exploit this property by trading computational load for communication load. In particular, we present a communication scheme by which mathematical computations can be executed at the time of wireless transmission. This transmission scheme enables the execution of complex computations by a network of resource restricted, cooperating nodes at a computational load below the operation's computational complexity. We derive the scheme analytically, explore its feasibility for dense networks in mathematical simulations and demonstrate its practicability in a case study with 15 nodes.\",\"PeriodicalId\":142810,\"journal\":{\"name\":\"2012 3rd IEEE International Conference on the Internet of Things\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 3rd IEEE International Conference on the Internet of Things\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IOT.2012.6402311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 3rd IEEE International Conference on the Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IOT.2012.6402311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calculation of functions on the RF-channel for IoT
We consider the calculation of mathematical functions at the time of wireless superimposition of data sequences in IoT environments. IoT devices will be heavily resource limited, possibly parasitic or passive powered nodes. Although restricted in their computational capabilities, such nodes draw on a virtually unlimited power source. We exploit this property by trading computational load for communication load. In particular, we present a communication scheme by which mathematical computations can be executed at the time of wireless transmission. This transmission scheme enables the execution of complex computations by a network of resource restricted, cooperating nodes at a computational load below the operation's computational complexity. We derive the scheme analytically, explore its feasibility for dense networks in mathematical simulations and demonstrate its practicability in a case study with 15 nodes.
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