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Data collection of mobile sensor networks by drones

Data collection by autonomous mobile sensor arrays can be coupled with the use of drones which provide a low-cost, easily deployable backhauling solution. These means of collection can be used to organize temporary events (sporting or cultural) or to carry out operations in difficult or hostile terrain. The aim of this thesis is to propose effective solutions for communication between both mobile sensors on the ground and on the edge-to-ground link. For this purpose, we are interested in scheduling communications, routing and access control on the sensor / drone link, the mobile collector. We propose an architecture that meets the constraints of the network. The main ones are the intermittence of the links and therefore the lack of connectivity for which solutions adapted to the networks tolerant to the deadlines are adopted. Given the limited opportunities for communication with the drone and the significant variation in the physical data rate, we proposed scheduling solutions that take account of both the contact time and the physical flow rate. Opportunistic routing is also based on these two criteria both for the selection of relay nodes and for the management of queues. We wanted to limit the overhead and propose efficient and fair solutions between mobile sensors on the ground. The proposed solutions have proved superior to conventional scheduling and routing solutions. Finally, we proposed a method of access combining a random access with contention as well as an access with reservation taking into account the aforementioned criteria. This flexible solution allows a network of dense mobile sensors to get closer to the performance obtained in an oracle mode. The proposed solutions can be implemented and applied in different application contexts for which the ground nodes are mobile or easily adapted to the case where the nodes are static.

Identiferoai:union.ndltd.org:univ-toulouse.fr/oai:oatao.univ-toulouse.fr:19492
Date06 November 2017
CreatorsMa, Xiaoyan
ContributorsInstitut National Polytechnique de Toulouse - INPT (FRANCE), Institut de Recherche en Informatique de Toulouse - IRIT (Toulouse, France)
Source SetsUniversité de Toulouse
LanguageEnglish
Detected LanguageEnglish
TypePhD Thesis, PeerReviewed, info:eu-repo/semantics/doctoralThesis
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
Relationhttp://oatao.univ-toulouse.fr/19492/

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