Publications:Dynamic activity and task allocation supporting uav teams in surveillance systems
From CERES
| Title | Dynamic activity and task allocation supporting uav teams in surveillance systems |
|---|---|
| Author | Edison Pignaton de Freitas and Alécio Pedro Delazari Binotto and Carlos Eduardo Pereira and Andre Stork and Tony Larsson |
| Year | 2009 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | Proceedings of the International Multiconference on Computer Science and Information Technology, 2009. IMCSIT '09 |
| DOI | http://dx.doi.org/10.1109/IMCSIT.2009.5352736 |
| Conference | International Multiconference on computer science and information technology, October 12 - 14 2009, Mragowo, Poland |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:408013 |
| Abstract | The use of Unmanned Aerial Vehicles is increasing in the field of area patrolling and surveil- lance. A great issue that emerge in designing such systems is the target workload distribution over a fleet of UAVs, which generally have different capabilities of sensing and computing power. Targets should be assigned to the most suitable UAVs in order to efficiently perform the end-user initiated missions. To perform these missions, the UAVs require powerful high-performance platforms to deal with many dif- ferent algorithms that make use of massive calculations. The use of COTS hardware (e.g., GPU) presents an interesting low-cost alternative to compose the required platform. However, in order to efficiently use these heterogeneous platforms in a dynamic scenario, such as in surveillance systems, runtime reconfigu- ration strategies must be provided. This paper presents a dynamic approach to distribute the handling of targets among the UAVs and a heuristic method to address the efficient use of the heterogeneous hard- ware that equips these UAVs, with the goal to meet also mission timing requirements. Preliminary simu- lation results of the proposed heuristics are also provided. |
