Literature Database Entry

xie2007datenspeicherung


Wei Xie, "Datenspeicherung und SQL-basierte Abfrage in Sensornetzen," Bachelor Thesis, Department of Computer Science, Friedrich–Alexander University of Erlangen–Nuremberg (FAU), April 2007. (Advisors: Falko Dressler and Abdalkarim Awad)


Abstract

From invasion security to the early detected nature disaster such as forest fire the wireless sensor networks will be used in more and more application areas. Many such sensor networks applications base on an idea, transferring all of the measured data to a central base station. Considering the energy efficiency and lifetime of whole network we will see advantages by using distributed data storage on all of sensor nodes and accessing them with measure- and analysis programs or monitoring applications. Such access methods are still not realized adequately. In this work a data management system for wireless sensor network was designed and implemented. The BTnode, which communicate each other by using Bluetooth, were used as sensor nodes. The data management system consists of two sub systems. A data storage and organization system offers a basic programming API, which allows the user storing and locating data according to an already defined relational data model in BTnodes. A client/server system (client running in a Linux-PC, server running in BTnodes) makes it possible, fetching data in a form of single value or the whole table from sensor network. Thereby either the known node can be addressed or all of data from sensor network can be fetched.

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Wei Xie

BibTeX reference

@phdthesis{xie2007datenspeicherung,
    author = {Xie, Wei},
    title = {{Datenspeicherung und SQL-basierte Abfrage in Sensornetzen}},
    advisor = {Dressler, Falko and Awad, Abdalkarim},
    institution = {Department of Computer Science},
    location = {Erlangen, Germany},
    month = {4},
    school = {Friedrich--Alexander University of Erlangen--Nuremberg (FAU)},
    type = {Bachelor Thesis},
    year = {2007},
   }
   
   

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Last modified: 2024-04-19