Future emerging market trends head towards positioning based services
placing a new perspective on the way we obtain and exploit positioning
information. On one hand, innovations in information technology and
wireless communication systems enabled the development of numerous
location based applications such as vehicle navigation and tracking,
sensor networks applications, home automation, asset management,
security and context aware location services. On the other hand, wireless
networks themselves may bene t from localization information to
improve the performances of di erent network layers. Location based
routing, synchronization, interference cancellation are prime examples
of applications where location information can be useful.
Typical positioning solutions rely on measurements and exploitation of
distance dependent signal metrics, such as the received signal strength,
time of arrival or angle of arrival. They are cheaper and easier to implement
than the dedicated positioning systems based on ngerprinting,
but at the cost of accuracy. Therefore intelligent localization algorithms
and signal processing techniques have to be applied to mitigate
the lack of accuracy in distance estimates. Cooperation between nodes
is used in cases where conventional positioning techniques do not perform
well due to lack of existing infrastructure...
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...
Location-aware technologies have the potential to revolutionize computing, cellular services, sensor networks, and many other commercial, military, and social applications. In wireless networks, accurate information about an agent's location can give meaning to observed data and facilitate the agent's interactions with its surroundings and neighbors. Determining the location of one or more agents, known as localization or positioning, is a fundamental challenge. Most existing localization methods rely on existing infrastructure and hence lack the flexibility and robustness necessary for large ad-hoc networks. In this thesis, we describe a framework for localization that overcomes these limitations by utilizing cooperation: the agents in the network work together to determine their individual locations. We derive a practical algorithm for cooperative localization by formulating the problem as a factor graph and applying the sum-product algorithm. Each agent uses relative positioning measurements and probabilistic location information from its neighbors to iteratively update its location estimate. We investigate the performance of this algorithm in a network of ultra-wideband (UWB) nodes, which are well-suited for localization due to their potential to measure inter-node distances with high accuracy. Realistic models of UWB ranging error...
Many localization algorithms and systems have been developed by means of
wireless sensor networks for both indoor and outdoor environments. To achieve
higher localization accuracy, extra hardware equipments are utilized by most of
the existing localization solutions, which increase the cost and considerably
limit the location-based applications. The Internet of Things (IOT) integrates
many technologies, such as Internet, Zigbee, Bluetooth, infrared, WiFi, GPRS,
3G, etc, which can enable different ways to obtain the location information of
various objects. Location-based service is a primary service of the IOT, while
localization accuracy is a key issue. In this paper, a higher accuracy
localization scheme is proposed which can effectively satisfy diverse
requirements for many indoor and outdoor location services. The proposed scheme
composes of two phases: 1) partition phase, in which the target region is split
into small grids; 2) localization refinement phase, in which a higher accuracy
of localization can be obtained by applying an algorithm designed in the paper.
A trial system is set up to verify correctness of the proposed scheme and
furthermore to illustrate its feasibility and availability. The experimental
results show that the proposed scheme can improve the localization accuracy.; Comment: To appear in Journal of Supercomputing. arXiv admin note: substantial
text overlap with arXiv:1011.3097
Indoor localization is a problem that has generated much interest in recent years. Proximity
marketing, eHealth, smart-parking and smart-cities, security and emergency units, logistics
management, or industrial control systems are some pf the sectors that have demanded new
Location Based Services (LBSs). These services are usually implemented using Wireless
Sensor Networks (WSNs), capable of transmitting and receiving Radio Frequency (RF) signals
in order to locate mobile devices attached to vehicles, people, or animals.
While systems based on satellite systems such as GPS work correctly in outdoor scenarios,
indoor localization is still a challenging field of study. On one hand, signal propagation
problems are common, not only due to reflections and scattering due to the building structures,
but also because of signal attenuation and fading caused mainly by people in movement. To
overcome these issues, most of the approaches use several WSNs with a combination of multiple
wireless technologies, such asWiFi, ZigBee or Bluetooth, some of them also available in mobile
devices such as smartphones and tablets. On the other hand, data received from multiple devices
must be filtered and combined by means of location algorithms and techniques in order to obtain
precise and robust Real-Time Location Systems (RTLSs).