{"title":"车辆人群感知路径控制方法的感知覆盖分析","authors":"Osamu Masutani","doi":"10.1109/PERCOMW.2015.7134070","DOIUrl":null,"url":null,"abstract":"General vehicles have much potential to contribute to city surveillance in a context of Smart City. Vehicular crowd sensing is essential for reasonable and sustainable city surveillance. We propose route control method to enhance sensing coverage of crowd sensing system. The method is composed of sensing demand-aware cost assignment and a cooperative path reservation. We performed a traffic simulation to evaluate the route control method. The result shows sensing coverage of vehicular crowd sensing can be significantly enhanced without much additional travel of sensing vehicle. Therefore total sensing ability can be increased without enhancing sensor ability or enhancing the number of sensing vehicles.","PeriodicalId":180959,"journal":{"name":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"A sensing coverage analysis of a route control method for vehicular crowd sensing\",\"authors\":\"Osamu Masutani\",\"doi\":\"10.1109/PERCOMW.2015.7134070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"General vehicles have much potential to contribute to city surveillance in a context of Smart City. Vehicular crowd sensing is essential for reasonable and sustainable city surveillance. We propose route control method to enhance sensing coverage of crowd sensing system. The method is composed of sensing demand-aware cost assignment and a cooperative path reservation. We performed a traffic simulation to evaluate the route control method. The result shows sensing coverage of vehicular crowd sensing can be significantly enhanced without much additional travel of sensing vehicle. Therefore total sensing ability can be increased without enhancing sensor ability or enhancing the number of sensing vehicles.\",\"PeriodicalId\":180959,\"journal\":{\"name\":\"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2015.7134070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2015.7134070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A sensing coverage analysis of a route control method for vehicular crowd sensing
General vehicles have much potential to contribute to city surveillance in a context of Smart City. Vehicular crowd sensing is essential for reasonable and sustainable city surveillance. We propose route control method to enhance sensing coverage of crowd sensing system. The method is composed of sensing demand-aware cost assignment and a cooperative path reservation. We performed a traffic simulation to evaluate the route control method. The result shows sensing coverage of vehicular crowd sensing can be significantly enhanced without much additional travel of sensing vehicle. Therefore total sensing ability can be increased without enhancing sensor ability or enhancing the number of sensing vehicles.