{"title":"多智能体环境中通信限制的几何解释","authors":"F. Stoican, D. Popescu, L. Ichim","doi":"10.23919/RADIO.2018.8572375","DOIUrl":null,"url":null,"abstract":"In this paper we consider a multi-obstacle environment in which ground terminal stations (GDTs) exchange information with unmanned aerial vehicles (UAVs) engaged in fulfilling a data gathering mission (i.e., a list of way-points defining sensor cluster heads is covered by the UAVs). We discuss limitations imposed by the terrain (obstacles), UAV dynamics and GDT characteristics and provide reference trajectories which ensure communication at all times. The associated optimization problem is put in a mixed integer form which guarantees the aforementioned constraints and minimizes the mission cost.","PeriodicalId":365518,"journal":{"name":"2018 IEEE Radio and Antenna Days of the Indian Ocean (RADIO)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Geometrical Interpretation of Communication Restrictions in a Multi-Agent Environment\",\"authors\":\"F. Stoican, D. Popescu, L. Ichim\",\"doi\":\"10.23919/RADIO.2018.8572375\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we consider a multi-obstacle environment in which ground terminal stations (GDTs) exchange information with unmanned aerial vehicles (UAVs) engaged in fulfilling a data gathering mission (i.e., a list of way-points defining sensor cluster heads is covered by the UAVs). We discuss limitations imposed by the terrain (obstacles), UAV dynamics and GDT characteristics and provide reference trajectories which ensure communication at all times. The associated optimization problem is put in a mixed integer form which guarantees the aforementioned constraints and minimizes the mission cost.\",\"PeriodicalId\":365518,\"journal\":{\"name\":\"2018 IEEE Radio and Antenna Days of the Indian Ocean (RADIO)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Radio and Antenna Days of the Indian Ocean (RADIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/RADIO.2018.8572375\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Radio and Antenna Days of the Indian Ocean (RADIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/RADIO.2018.8572375","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Geometrical Interpretation of Communication Restrictions in a Multi-Agent Environment
In this paper we consider a multi-obstacle environment in which ground terminal stations (GDTs) exchange information with unmanned aerial vehicles (UAVs) engaged in fulfilling a data gathering mission (i.e., a list of way-points defining sensor cluster heads is covered by the UAVs). We discuss limitations imposed by the terrain (obstacles), UAV dynamics and GDT characteristics and provide reference trajectories which ensure communication at all times. The associated optimization problem is put in a mixed integer form which guarantees the aforementioned constraints and minimizes the mission cost.