Massimiliano De Benedetti, Fabio D'Urso, F. Messina, G. Pappalardo, C. Santoro
{"title":"UAV-based Aerial Monitoring: A Performance Evaluation of a Self-Organising Flocking Algorithm","authors":"Massimiliano De Benedetti, Fabio D'Urso, F. Messina, G. Pappalardo, C. Santoro","doi":"10.1109/3PGCIC.2015.78","DOIUrl":null,"url":null,"abstract":"This paper describes an algorithm aiming at coordinating of a set of multirotor UAVs to self-organise in order to create a flock performing a monitoring mission. The aim of the flock is to acquire data relevant to a certain area of the terrain and transmit them to a Base Station. Two basic aspects are taken into account: (i) to plan a proper path which minimises mission time, and (ii) to identify possible faults in one or more multirotors, taking care of performing a re-scouting of terrain regions in order to avoid loss of data. The algorithm uses same rules to ensure flocking formation and area coverage. It is validated using a software simulator to measure and report some parameters useful to understand the performances and effectiveness of the approach.","PeriodicalId":395401,"journal":{"name":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3PGCIC.2015.78","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This paper describes an algorithm aiming at coordinating of a set of multirotor UAVs to self-organise in order to create a flock performing a monitoring mission. The aim of the flock is to acquire data relevant to a certain area of the terrain and transmit them to a Base Station. Two basic aspects are taken into account: (i) to plan a proper path which minimises mission time, and (ii) to identify possible faults in one or more multirotors, taking care of performing a re-scouting of terrain regions in order to avoid loss of data. The algorithm uses same rules to ensure flocking formation and area coverage. It is validated using a software simulator to measure and report some parameters useful to understand the performances and effectiveness of the approach.