Exploration and analysis of sensor technologies for efficient indoor location-based services

Abstract

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 huge complex at 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 are systems available in market , they lack either one of the attributes as such accuracy, reliability, scalability and / or expensive. GPS is not meant for indoors and even if so used at indoors , its relatively weak signal 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, remain eminently than other available indoor localization based approaches. All prerequisite for efficient localization such as accuracy, reliability, scalability, flexibility, availability, cost efficiency , minimum latency and robustness were evaluated reconstructed for this approach that is herewith demonstrated in my dissertation.

The dissertation is structured as various chapters . Each of the chapter in this dissertation 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 employing Bluetooth, RFID and inertial sensors and remains universally adaptable for any of the location based services . The corresponding results were validated and substantiated for their accuracy and reliability and competence in comparison to available single and hybrid -based sensor systems . In addition, a route planning algorithm developed for navigation in indoor environments completes the prototype.

In recent years, interest in building localization services , as already known from the outside has increased. Building management systems can offer comprehensive services , particularly in large and branched shopping centers , hospitals and libraries. The navigation of people is such a promising location service in buildings. The localization is the basis of all lokalisierungsbasierten services. Although there are few systems for locating people in buildings that have these drawbacks in important attributes of such systems , for example , accuracy , reliability , scalability, or are very expensive solutions. GPS was not originally developed for locating in buildings. If it is still used in the interior, are his weak signals for building location services hindrance.

The aim of this thesis is to find an approach for efficient and precise localization of buildings that can be used in most large spatial environments. The presented methodology , which can not be compared with GPS since it is used in buildings , has been compared to known methods have some advantages. All the conditions for an efficient location in the interior such as accuracy , reliability , scalability , flexibility , availability , cost effectiveness , minimal latency and robustness are investigated for the proposed approach in this thesis and presented.

The thesis is divided into several chapters, each chapter of which presents new methods for building localization content using widely used sensor technologies. These sensor technologies include Bluetooth , RFID, and systems with acceleration sensors and compasses ( inertial ). The goal of this work is achieved. The proposed hybrid prototype ultimately building a localization service consisting of Bluetooth , RFID, and inertial sensors can be used universally for many location services . The results obtained with the prototype localization results have been validated and it was a comparison with known individual and hybrid localization systems implemented based on sensor technology to the accuracy, reliability and ability. In addition, completed a novel navigation algorithm for building the item prototype.