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

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DOI: 10.4236/ijcns.2013.64020    4,688 Downloads   7,461 Views   Citations

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

M. Abo-Zahhad, S. Ahmed and M. Mourad, "Services and Applications Based on Mobile User’s Location Detection and Prediction," International Journal of Communications, Network and System Sciences, Vol. 6 No. 4, 2013, pp. 167-175. doi: 10.4236/ijcns.2013.64020.

References

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