Management system for Unmanned Aircraft Systems teams
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099.1/9672
Tutor / directorLópez Salcedo, José Antonio
Tipus de documentProjecte Final de Màster Oficial
Data2010-05-31
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-CompartirIgual 3.0 Espanya
Abstract
This thesis investigates new schemes to improve the operability of heterogeneous
Unmanned Aircraft Systems (UAS) teams through the exploitation of inter-vehicular
communications. Releasing ground links from unnecessary data exchanges saves
resources (power, bandwidth, etc) and alleviates the inherent scalability problem
resulting from the increase in the number of UAS to be controlled simultaneously. In
first place, a framework to classify UAS according to their level of autonomy is
presented along with efficient methodologies to assess the autonomy level of either
individual or multiple UAS. An architecture based on an aerial Mobile Ad-hoc
Network (MANET) is proposed for the management of the data exchange among all
the vehicles in the team. A performance evaluation of the two most relevant MANET
approaches for path discovery (namely, reactive and proactive) has been carried out
by means of simulation of two well-known routing protocols: Ad-hoc On-demand
Distance Vector (AODV) and Destination Sequenced Distance Vector (DSDV).
Several network configurations are generated to emulate different possible
contingencies that might occur in real UAS team operations. Network topology
evolution, vehicle flight dynamics and data traffic patterns are considered as input
parameters to the simulation model. The analysis of the system behaviour for each
possible network configuration is used to evaluate the appropriateness of both
approaches in different mission scenarios. Alternative network solutions based on
Delay Tolerant Networking (DTN) for situations of intermittent connectivity and
network partitioning are outlined. Finally, an assessment of the simulation results is
presented along with a discussion about further research challenges.
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memoria.pdf | 1,725Mb | Visualitza/Obre |