Services and Applications Based on Mobile User’s Location Detection and Prediction

Abstract

Many wireless applications are deployed and available to customers via their mobile phones. Variety of these applications and services are based on determination of the current or future location of mobile user. Location based services (LBS) are one of the vital applications which are subdivided into two main categories: economical category and public category. Economic applications include mobile marketing, entertainment and tracking applications. Whereas, emergency cases, safety, traffic management, Muslims' applications and public information applications are sort of public applications. The first part of the paper presents a new proposed system with developed procedure to recreate public and economic applications with high positioning accuracy and good authentication of users' data. The developed system is created to enhance both location based services and network allocation resources within mobile network platform using either normal or GPS supported mobile equipment. The second part of the paper introduces future location prediction of mobile user dependent applications. New algorithm is developed depending on utilizing both intra-cell Movement Pattern algorithm (ICMP) [1] and hybrid uplink time Difference of Arrival and Assisted GPS technique (UTDOA_AGPS) [2]. It has been noticed that ICMP algorithm outperforms other future location prediction algorithms with high precision and within suitable time (less than 220) msec. However, UTDOA_AGPS guarantees high precession of mobile user independent of the surrounding environment. The proposed technique is used to enhance reliability and efficiency of location based services using cellular network platform.

A Novel Location Prediction Algorithm of Mobile Users For Cellular Networks

“…UMPMining algorithm [8,9,10,15,16] predicts the location of mobile users using data mining techniques.…”

“…The sequential mining algorithm was applied to the mobility prediction for cellular networks [8,10,15,16] known as User Mobility prediction Algorithm (UMPMining Algorithm).…”

Mobility Patterns Mining Algorithms with Fast Speed

“…In [11] and [12], the authors also applied the UMPMining algorithm for location-based services (LBSs) in the cellular communication networks. In [11], Abo-Zahhad et al presented LBSs as emergency, safety, traffic management, and public information applications. In [12], Lu et al, presented to find segmenting time intervals where similar mobile characteristics exist.…”

“…In addition, B is a substring of A, if all cells of B exist in A (not need sequent in A). The UMPMining algorithm is a sequence pattern mining algorithm which applied in the movement predict of the cellular networks ( [7], [8], [9], [10], [11], [12]).…”

Design and Implementation of a Tourism System Using Mobile Augmented Reality and GIS Technologies

“…Using these strategies, the government hopes to shape Taiwan into a tourist hub in Eastern Asia and an internationally important travel destination. Existing tourism apps developed for front-end mobile device systems make use of quick response codes (QR code) [1,2] and GPS/LBS applications [3][4][5] to enable location-based tours, announcements, and sharing functions. Tour services combining local cultural resources with mobile augmented reality (MAR) [6][7][8][9] give tourists immediate access to relevant information.…”