Assessment of indoor localization algorithm performance under realistic conditions
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Sähkötekniikan korkeakoulu |
Master's thesis
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Authors
Date
2012
Department
Major/Subject
Signaalinkäsittelytekniikka
Mcode
S-88
Degree programme
Language
en
Pages
[11] + 64 s.
Series
Abstract
Wireless sensor networks localization is one of most vibrant research field since it has more advantageous than a global positioning system (GPS) in aspect of cost and indoor usability. In wireless sensor networks (WSN), predetermined location of a sensor can sometimes be meaningless because a sensor can be deployed in such an area where is hardly reachable. Therefore, a sensor must be able to localize itself and provides its location information to other sensor nodes. Non-cooperative localization, also called traditional localization, like local positioning system (LPS) has been done by communications only between anchor nodes and an agent node. However, a sensor requires to have a sensor that has unlimited power transmission capability, which seems unrealistic. Furthermore, accuracy is also limited due to communication only between an anchor node and an agent node. To deal with these problems, cooperative localization technique has been suggested and studied. Cooperative localization is the technique including not only measurement between anchor nodes and an agent node but also the measurement between agent nodes for location estimation so as to increase positioning accuracy and robustness. Among various sensory modalities (acoustic, seismic, infrared and so on) the modality of measurement made in wireless sensor networks throughout this thesis is radio frequency (RF). Simulation results of both non-cooperative and cooperative localization accuracy will be observed in order to prove that cooperative localization outperforms non-cooperative localization. In addition, simulated data is compared to data which is actually measured in indoor environment to give the idea how reliable the simulation is in indoor.Description
Supervisor
Skyttä, JormaThesis advisor
Forsten, JuhaKeywords
wireless sensor networks, WSN, anchor node, agent node, traditional, cooperative localization