A scalable location-based services infrastructure combining GPS and Bluetooth based positioning for providing services in ubiquitous environment

Abstract

Several methodologies on the provisioning of the Location-Based Services (LBSs) solely using GPS-based positioning or combining several positioning techniques like GPS, GSM Cell-ID, Wi-Fi, Bluetooth and RFID etc. have been proposed over the past few years. Most of these systems do not focus on limited battery power, memory-constraint of the mobile devices, the heterogeneity of mobile platform and proper authentication checks before providing LBSs to the mobile user. Our proposed system utilizes low-cost, low-power Bluetooth wireless technology as indoor positioning technique and combines it with GPSbased positioning to accurately sense the location in outdoor environment. The inclusion of HTML-to-WML parser into the Middleware deployed on each Base Station (BS) enables the devices with micro browser to invoke the LBSs properly. The mobile client application developed in Java is portable and interoperable with a diverse set of mobile platforms. The client application can also run on devices not having support of location API. Scatternet support with our proposed LBS Infrastructure makes it scalable with increasing number of client devices. This paper also evaluates the performance of the Middleware in terms of connection setup time and service consumption time with respect to varying number of mobile clients.

Search me if you can: Multiple mix zones with location privacy protection for mapping services

“…By formulating the optimization problems as linear programs, the authors showed how to find the optimal LPPMs considering the user's requirements on both location privacy and service quality. [29][30][31] A new location privacy framework that generalized the well-known differential privacy model in statistical database through geoindistinguishability. The major difference of geoindistinguishability from the previous 2 frameworks is that it abstracts away the prior knowledge of the adversary.…”

“…The major difference of geoindistinguishability from the previous 2 frameworks is that it abstracts away the prior knowledge of the adversary. The work extended 31 by optimizing the quality of service while satisfying geoindistinguishability. Besides location privacy models, many concrete location privacy protection mechanisms (LPPMs) have been proposed in the past few years.…”

Hardware-software geo-information system for positioning objects

“…In the past decade, outdoor positioning technology and research in this area have shown explosive growth in achievement [2,[6][7][8][9][10][11][12][13]. At the moment, similar trends are observed for indoor positioning technologies, and it can be noted that indoors people spend more than 70% of their lives.…”

“…The problem of indoor positioning has been discussed in articles since 1994. A comprehensive picture of the current situation is given in the articles of 2007-2014 [1][2][3][4][5][6][7][8][9][10][11][12]. For example, Davide Dardari, Pau Closas and Petar M. Djuric [1] have shown that for all existing technologies of radio frequency positioning and positioning by using separate sensors of speed, earth magnetic field and acceleration, the maximum achievable accuracy is tens of centimeters at a significant cost.…”

“…Thus, the authors of the study [1] conclude that the use of hybrid multisensor systems based on MEMS technologies is an urgent task of the future, which is not currently implemented. In subsequent publications, the authors also indicate that improving the accuracy and speed of positioning is a very actual and unresolved task [1][2][3][4][5][6][7][8][9][10][11][12][13].…”