Performance evaluation of mobile U-navigation based on GPS/WLAN hybridization

This paper present our mobile u-navigation system. This approach utilizes hybridization of wireless local area network and Global Positioning System internal sensor which to receive signal strength from access point and the same time retrieve Global Navigation System Satellite signal. This positioning information will be switched based on type of environment in order to ensure the ubiquity of positioning system. Finally we present our results to illustrate the performance of the localization system for an indoor/ outdoor environment set-up

Performance Evaluation of Mobile U-Navigation based on GPS/WLAN Hybridization

This paper present our mobile u-navigation system. This approach utilizes hybridization of wireless local area network and Global Positioning System internal sensor which to receive signal strength from access point and the same time retrieve Global Navigation System Satellite signal. This positioning information will be switched based on type of environment in order to ensure the ubiquity of positioning system. Finally we present our results to illustrate the performance of the localization system for an indoor/ outdoor environment set-up.Comment: Journal of Convergence Information Technology(JCIT

Ubiquitous Positioning: A Taxonomy for Location Determination on Mobile Navigation System

The location determination in obstructed area can be very challenging especially if Global Positioning System are blocked. Users will find it difficult to navigate directly on-site in such condition, especially indoor car park lot or obstructed environment. Sometimes, it needs to combine with other sensors and positioning methods in order to determine the location with more intelligent, reliable and ubiquity. By using ubiquitous positioning in mobile navigation system, it is a promising ubiquitous location technique in a mobile phone since as it is a familiar personal electronic device for many people. However, as research on ubiquitous positioning systems goes beyond basic methods there is an increasing need for better comparison of proposed ubiquitous positioning systems. System developers are also lacking of good frameworks for understanding different options during building ubiquitous positioning systems. This paper proposes taxonomy to address both of these problems. The proposed taxonomy has been constructed from a literature study of papers and articles on positioning estimation that can be used to determine location everywhere on mobile navigation system. For researchers the taxonomy can also be used as an aid for scoping out future research in the area of ubiquitous positioning.Comment: 15 Pages, 3 figure

Wireless LAN/FM radio-based robust mobile indoor positioning: an initial outcome

The location determination in an obstructed area can be extremely challenging especially if the Global Positioning System (GPS) is blocked. In such conditions, users will find it difficult to navigate directly on-site, especially within an indoor environment. Occasionally, this needs to integrate with other sensors in order to determine the location with greater intelligence, reliability and ubiquity. In this paper, we will utilise the function of a mobile sensing platform (MSP) by integrating a wireless local area network (WLAN) and FM radio. These positioning sensors will be switched based on the user's environment in order to ensure the robustness of the indoor positioning system. Finally, we will present our preliminary results to illustrate the performance of the system for an indoor environment set-up

Offline beacon selection-based RSSI fingerprinting for location-aware shopping assistance: a preliminary result

The location determination in an obstructed area can be extremely challenging particularly when the Global Positioning System (GPS) is blocked. When this happens, users will encounter difficulty in navigating directly onsite, especially within an indoor environment. Occasionally, there is a need to integrate with other sensors in order to establish the location with greater intelligence, reliability, and ubiquity. The use of positioning integration may be useful since it involves as many beacons as necessary to determine positioning. However, the implementation of the integration in the mobile devices platform may lead high computation which in turn could increase power consumption. In this paper, an offline beacon selection-based RSSI fingerprinting is proposed in order to lessen the computation task during the location determination process, as it may cause huge power consumption in mobile devices. By reducing the number of beacons that will be processed, the number of RSSI fingerprinting searches of the location in the spatial database also reduced. Lastly, the preliminary results are presented to illustrate the performance of an indoor environment set-up

Emergency rescue localization (ERL) using GPS, wireless LAN and camera

Congestion avoidance in emergency situations is among one of many overlooked localization issues. During emergency situations (such as fires), sometimes the rescuers find it hard to find the best exit route from the inside to the outside of a building. Any time delay in decision making will risk the loss of lives. Therefore, an efficient Emergency Rescue Localization (ERL) system is needed to help rescuers find the best route from the inside to the outside of a building. Thus, we propose a new ERL that is based on the integration of a Global Positioning System (GPS), Wireless LAN and camera. In this proposed ERL, the integrated Wireless LAN (WLAN) and Camera are used to retrieve location information inside a building. Then, localization methods will be adapted to GPS-based localization when subjects are in open areas outside the building. Finally, we present our experimental results to illustrate the performance of the localization system for indoor and outdoor environment set-u

Investigation of color constancy for ubiquitous wireless LAN/camera positioning: an initial outcome

This paper present our color constancy investigation in the hybridization of Wireless LAN and Camera positioning in the mobile phone. Five typical color constancy schemes are analyzed in different location environment. The results can be used to combine with RF signals from Wireless LAN positioning by using model fitting approach in order to establish absolute positioning output. There is no conventional searching algorithm required, thus it is expected to reduce the complexity of computation. Finally we present our preliminary results to illustrate the indoor positioning algorithm performance evaluation for an indoor environment set-up