Exploration and analysis of sensor technologies for efficient indoor location-based services [Elektronische Ressource] / vorgelegt von Suguna P. Subramanian

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• Publié par: eberhard_karls_universitat_tubingen
• Publié le: 01 janvier 2010
• Nombre de lectures: 27
• Langue: English
• Poids de l'ouvrage: 2 Mo

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Exploration and Analysis of Sensor
Technologies
for Efficient Indoor Location based Services
Suguna P. SubramanianExploration and Analysis of Sensor
Technologies
for Efficient Indoor Location based Services
Dissertation
der Fakultät für Informations und Kognitionswissenschaften
der Eberhard Karls Universität Tübingen
zur Erlangung des Grades eines
Doktors der Naturwissenschaften
(Dr. rer. nat.)
vorgelegt von
Dipl. Inform. Suguna P. Subramanian
aus Gobichettipalayam, India
Tübingen
2010Tag der muendlichen Qualifikation: 14. 07. 10
Dekan: Prof. Dr. Ing. Oliver Kohlbacher
1. Berichterstatter: Prof. Dr. Wolfgang Rosenstiel
2. Prof. Dr. Andreas ZellTo my daughter Adithi VelavanAcknowledgement
My very first credit goes to my daughter, who was there during all my hardships
and elation. She remains as one who rejuvenated me during hardship. I express my
heartiest gratitude to my companion Dr. Velavan T.P for being a source of consi
stent encouragement and inspiration during the course of my dissertation. I thank
my parents and my father in law for their consistent encouragement all through my
academic career.
I am indebted and owe my absolute gratitude to Prof. Dr. Wolfgang Rosenstiel for
providing me an opportunity to come to Germany to accomplish my PhD. I am really
honoured to have him as my guide who is friendly yet stimulating me scholarly and
for all the independency that he provided during my work period. I thank him for
his constructive feedbacks that enabled me to gain knowledge on my research goals.
I would like to thank him right from my heart for all the help that he has rendered
during my tenure. Thanks for having faith in me and for all the motivation that he
has rendered. I would like to thank Prof. Dr. Andreas Zell, my second supervisor,
who provided an insightful view of my work.
I would express my deepest gratitude and feel extremely privileged to work with Dr.
Stephen Schmitt. I extend my sincere thanks to him for his leadership qualities and
able guidance all through my PhD. Fruitful discussions had made my career dynamic
in all perspectives throughout the course of my dissertation. I would like to thank my
colleague Juergen Sommer, for his skeptical questions and insightful comments and
for reviewing my work. I am grateful to them for the patience they have shown during
my discussions with them.
I thank Landesstiftung Baden Wuerttemberg(in the scope of the BW FIT project Am
biSense), Germany, for their financial support for my living and for all travel grants
to attend conferences abroad. Many thanks to Margot Reimold for facilitating all
administrative and organizing efforts.
I express my gratitude to my colleagues Michael Bensch and Werner Dreher for their
technical assistance. I am most grateful to Dr. Prakash Mohan Peranandam, a down
to earth guy who was always there to help me at any time, at any place, at any regard
and at any cost.
viiI express my gratitude to Frank Peter Zeh for consistent help in conducting experi
ments. A special thanks to Dr. Axel Braun, Dr. Pradeep K. Nalla, Dr. Djones Lettnin
and Dr. Julio Oliveria Filho whose input has provided me an ample opportunity to
improve my dissertation. I extend my thanks to my co PhDs Andreas Bernauer who
used to converse with me often in German which motivated me to learn German
language.
A special thanks to Traugott Dittmann (Muenster) for his friendship, and for the help
rendered to me and to my beloved. I am proud to call him as my best friend I had.
A bunch of thanks to Sankar, Ravi and Jai for providing me a cosy Tamil environment
during my stay here in Tuebingen and for all the help they rendered to me and my
family during my dissertation period. I owe a lot to these guys.
I owe a lot of people, friends, colleagues, who helped me, supported me during my
PhD. My sincere thanks to all if I have not mentioned them.
viiiAbstract
In recent years, there is a mounting obligation for indoor location based services
comparable to outdoor location based services. Indoor guidance systems provide
ample utilities to a user explicitly at huge complex shopping malls, hospitals and at
vast libraries for any directed assistance. Pedestrian navigation is one such promising
indoor location based service. Localization remains a basis for all location based
services. Although, few pedestrian based indoor localization systems are available in
market, they lack either one of the attributes such as accuracy, reliability, scalability
and/or expensive. GPS is not meant for indoors and even if so used at indoors, its
relative weak signals still stay a hurdle for any indoor location based services.
In this dissertation, the aim is to build an efficient and precise indoor localization
approach that can be implemented for most of the large indoor environments. The
projected approach in this study incomparable to GPS that works outdoors, will re
main eminent than other available indoor localization based approaches. All prere
quisite for efficient localization such as accuracy, reliability, scalability, flexibility,
availability, cost efficiency, minimum latency and robustness were evaluated for this
reconstructed approach that is demonstrated herewith in my dissertation.
The dissertation is structured as various chapters. Each of the chapter in this disser-
tation portrays novel methods utilizing major sensor technologies such as Bluetooth,
RFID and Inertial sensors for efficient indoor localization. The ultimate objective of
the dissertation is well achieved. The reconstructed hybrid prototype system employ
ing Bluetooth, RFID and Inertial sensors and remains universally adaptable for any of
the location based services. The corresponding results were validated and substan
tiated for their accuracy and reliability and competence in comparison to available
single and hybrid based sensor systems. In addition, a route planning algorithm de
veloped for navigation in indoor environments completes the prototype.
ix