{"title":"传感器移动性对基于无人机的智能农场通信的影响","authors":"Prusayon Nintanavongsa, Itarun Pitimon","doi":"10.1109/IEECON.2017.8075822","DOIUrl":null,"url":null,"abstract":"Agricultural productivity has long been a key metric for measuring farming efficiency and it has been proven that agricultural productivity can be increased through smart farming. Recently, Unmanned Aerial Vehicle (UAV) has also been incorporated into smart farming in order to provide additional perspectives, i.e., imagery analysis and agricultural surveillance. These UAVs not only perform their specific tasks but also capable of communicating. We investigate the impact of sensor mobility on network communications in a smart farm platform, comprising of sensor-equipped UAVs. Through a simulation study, we demonstrate how sensor mobility impacts network throughput and delay as well as determine the optimal UAV mobility profile.","PeriodicalId":196081,"journal":{"name":"2017 International Electrical Engineering Congress (iEECON)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Impact of sensor mobility on UAV-based smart farm communications\",\"authors\":\"Prusayon Nintanavongsa, Itarun Pitimon\",\"doi\":\"10.1109/IEECON.2017.8075822\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Agricultural productivity has long been a key metric for measuring farming efficiency and it has been proven that agricultural productivity can be increased through smart farming. Recently, Unmanned Aerial Vehicle (UAV) has also been incorporated into smart farming in order to provide additional perspectives, i.e., imagery analysis and agricultural surveillance. These UAVs not only perform their specific tasks but also capable of communicating. We investigate the impact of sensor mobility on network communications in a smart farm platform, comprising of sensor-equipped UAVs. Through a simulation study, we demonstrate how sensor mobility impacts network throughput and delay as well as determine the optimal UAV mobility profile.\",\"PeriodicalId\":196081,\"journal\":{\"name\":\"2017 International Electrical Engineering Congress (iEECON)\",\"volume\":\"230 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Electrical Engineering Congress (iEECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEECON.2017.8075822\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Electrical Engineering Congress (iEECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEECON.2017.8075822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of sensor mobility on UAV-based smart farm communications
Agricultural productivity has long been a key metric for measuring farming efficiency and it has been proven that agricultural productivity can be increased through smart farming. Recently, Unmanned Aerial Vehicle (UAV) has also been incorporated into smart farming in order to provide additional perspectives, i.e., imagery analysis and agricultural surveillance. These UAVs not only perform their specific tasks but also capable of communicating. We investigate the impact of sensor mobility on network communications in a smart farm platform, comprising of sensor-equipped UAVs. Through a simulation study, we demonstrate how sensor mobility impacts network throughput and delay as well as determine the optimal UAV mobility profile.