{"title":"低功耗无线的连接和能源使用:一项实验研究","authors":"D. Puccinelli, S. Giordano","doi":"10.1109/PerComW.2013.6529564","DOIUrl":null,"url":null,"abstract":"We present an experimental study of the impact of network connectivity on energy usage in low-power wireless. We focus on the ends of the connectivity spectrum and investigate the energy footprint of excessive connectivity as well as poor connectivity. We observe that high connectivity boosts the energy footprint of broadcast traffic, because it is conducive to contention and overhearing. With respect to poor connectivity, we observe that the presence of connectivity outliers may also result in a significant increase of the energy consumption. To enable fair comparisons between experimental runs, we augment our results with quantitative data regarding the network topology during each run.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Connectivity and energy usage in low-power wireless: An experimental study\",\"authors\":\"D. Puccinelli, S. Giordano\",\"doi\":\"10.1109/PerComW.2013.6529564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an experimental study of the impact of network connectivity on energy usage in low-power wireless. We focus on the ends of the connectivity spectrum and investigate the energy footprint of excessive connectivity as well as poor connectivity. We observe that high connectivity boosts the energy footprint of broadcast traffic, because it is conducive to contention and overhearing. With respect to poor connectivity, we observe that the presence of connectivity outliers may also result in a significant increase of the energy consumption. To enable fair comparisons between experimental runs, we augment our results with quantitative data regarding the network topology during each run.\",\"PeriodicalId\":101502,\"journal\":{\"name\":\"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PerComW.2013.6529564\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PerComW.2013.6529564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Connectivity and energy usage in low-power wireless: An experimental study
We present an experimental study of the impact of network connectivity on energy usage in low-power wireless. We focus on the ends of the connectivity spectrum and investigate the energy footprint of excessive connectivity as well as poor connectivity. We observe that high connectivity boosts the energy footprint of broadcast traffic, because it is conducive to contention and overhearing. With respect to poor connectivity, we observe that the presence of connectivity outliers may also result in a significant increase of the energy consumption. To enable fair comparisons between experimental runs, we augment our results with quantitative data regarding the network topology during each run.
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