{"title":"ACM HotMobile 2013海报:CPM:移动人群感知的参与管理框架","authors":"Tingxin Yan, J. Yang","doi":"10.1145/2542095.2542109","DOIUrl":null,"url":null,"abstract":"We proposes CPM, a participation management framework that enables cost-efficient task distribution in crowdsensing applications. The core enablers of CPM include participation pattern learning, incentive modeling, and cost-optimized task allocation. Our preliminary results demonstrate that CPM reduces the participation cost significantly while maintaining almost the same sensing quality compared with existing schemes.","PeriodicalId":43578,"journal":{"name":"Mobile Computing and Communications Review","volume":"15 1","pages":"25-26"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ACM HotMobile 2013 poster: CPM: a participation management framework for mobile crowdsensing\",\"authors\":\"Tingxin Yan, J. Yang\",\"doi\":\"10.1145/2542095.2542109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We proposes CPM, a participation management framework that enables cost-efficient task distribution in crowdsensing applications. The core enablers of CPM include participation pattern learning, incentive modeling, and cost-optimized task allocation. Our preliminary results demonstrate that CPM reduces the participation cost significantly while maintaining almost the same sensing quality compared with existing schemes.\",\"PeriodicalId\":43578,\"journal\":{\"name\":\"Mobile Computing and Communications Review\",\"volume\":\"15 1\",\"pages\":\"25-26\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mobile Computing and Communications Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2542095.2542109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mobile Computing and Communications Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2542095.2542109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ACM HotMobile 2013 poster: CPM: a participation management framework for mobile crowdsensing
We proposes CPM, a participation management framework that enables cost-efficient task distribution in crowdsensing applications. The core enablers of CPM include participation pattern learning, incentive modeling, and cost-optimized task allocation. Our preliminary results demonstrate that CPM reduces the participation cost significantly while maintaining almost the same sensing quality compared with existing schemes.