Literature Database Entry

calim2006selbstorganisiertes


Hakan Calim, "Selbstorganisiertes Sensornetzwerk-Deployment basierend auf biologischer Zelldifferenzierung," Master's Thesis (Diplomarbeit), Department of Computer Sciences, University of Erlangen-Nuremberg, July 2006. (Advisors: Gerhard Fuchs and Falko Dressler)

Abstract

In the context of project the Roses which is the the chair for computer networks and Communication systems among other things the development of sensor networks are examined. The idea is to expound a sensor network by means of a robot swarm. One investigation is to examine which mechanisms are necessary to lay out the sensor nodes effectively and optimally. Furthermore, as required, to allow the communication between the sensor nodes. The classic procedure was that the developed algorithms try to lay out the sensor nodes optimally. With this procedure the sensor network has however a limited use. The reorganisation of the knots is with difficulty possible, since no selforganized mechanisms are present. The goal of the diploma thesis is to develop a selforganizing sensor network. The sensor nodes should perform movements meaningfully and handle tasks. First an overview of the characteristics which can be examined is represented such as sensor networks and self organization. Following the development biology, in detail from the fruit fly, mechanisms are shown which could fullfil the self organization of the sensor nodes. The mechanisms worked out from development biology were used for the conversion. An important mechanism which is used by the pattern formation is the identification of the areas through a sum of signals. A co-ordination system is developed by the Idendifikation of areas and thus the surrounding field of a cell is defined. The concept serves the structure of a lattice field. So white each cell where you in the lattice (Cell Grid) is and is able spatial and temporal defined tasks to be settled. The mapping to the sensor nodes is done similar to the pattern formation: The sensor nodes determine itself by measurement of local signal information where they are and which tasks are assigned to the area. Finally, the possibilities of the Cell Grid which is the name of the algorithm developed during this diploma thesis, are shown.

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Hakan Calim

BibTeX reference

@phdthesis{calim2006selbstorganisiertes,
    author = {Calim, Hakan},
    advisor = {Fuchs, Gerhard and Dressler, Falko},
    title = {{Selbstorganisiertes Sensornetzwerk-Deployment basierend auf biologischer Zelldifferenzierung}},
    institution = {Department of Computer Sciences},
    year = {2006},
    month = {July},
    school = {University of Erlangen-Nuremberg},
    type = {Master's Thesis (Diplomarbeit)},
   }
   
   

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