A Context-Aware Mobility Indoor Positioning System

A Context-Aware Mobility Indoor Positioning System

Eugene Ferry (Computing Department, Letterkenny Institute of Technology, Letterkenny, Ireland), John O'Raw (Computing Department, Letterkenny Institute of Technology, Letterkenny, Ireland) and Kevin Curran (School of Computing and Intelligent Systems, Ulster University, Northern Ireland)
DOI: 10.4018/IJARAS.2015010102
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Abstract

The need for location based services has dramatically increased within the past few years, especially with the popularity and capability of mobile device such as smart phones and tablets. The limitation of GPS for indoor positioning has seen an increase of indoor positioning based on Wireless Local Area Network 802.11. The authors demonstrate here a real world application of determining one's location with the Cisco Context-Aware Mobility which provides a Real Time Location System solution based on Wi-Fi. They detail their implementation of an Android application which communicates with the Cisco Context-Aware Mobility system to visually display the location of the mobile device. The application was tested in a production environment and limitations in the production environment along with the diagnostic capabilities of the Context-Aware Mobility were identified. The authors found that to obtain optimal accuracy, a device must be detected by four or more Access points so a recommended distribution for an indoor positioning system built on the Cisco context-aware mobility framework is for an Access Point to be placed every 12 – 20 linear meters.
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With the popularity of Wi-Fi increasing dramatically over the last few years, so has the need and use of Real Time Location Systems (RTLS). The availability of WLAN Access Points (APs) deployed almost everywhere including universities, hotels and shopping centres to name but a few, allows RTLS to calculate one’s location using a number of different techniques and approaches. These approaches differ in terms of the measurement techniques used to sense and measure the position of the device. There are also a number of factors that influence the technique that RTLS choose to implement such as cost, accuracy, performance, and environment. The following section expands on some of the techniques used.

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