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

M. Abo-Zahhad, Sabah M. Ahmed, M. Mourad

.
Department of Electrical and Electronic Engineering, Assiut University, Assiut, Egypt.

DOI: 10.4236/ijcns.2013.64020                

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.

Keywords

Wireless Location Based Services; Emergency Mobile Applications; Tracking Applications; Muslims’ Applications; Future Location Prediction Applications

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	M. Abo-Zahhad, S. M. Ahmed and M. Mourad, “Hybrid Uplink-Time Difference of Arrival and Assisted—GPS Positioning Technique,” International Journal of Communications, Network and System Sciences, Vol. 5, No. 6, 2012, pp. 303-312. doi:10.4236/ijcns.2012.56040
[2]	M. Abo-Zahhad, S. M. Ahmed and M. Mourad, “Map Based Intra-Cell Method for Location Prediction over UMTS Network Platform,” JES Journal, Vol. 39, No. 5, 2011, pp. 1069-1094.
[3]	“List of Countries by Number of Mobile Phones in Use,” Wikipedia, Gartner, 2010. http://www. gartner.com/it/page.jsp?id=1759714
[4]	R. Kokku, K. Sundaresan and G. F. Jiang, “Enabling Location Specific Real-time Mobile Applications,” Mobi-Arch’08, Seattle, 2008, pp. 19-24.
[5]	S. Zhong, E. R. Li, Y. B. G. Liu and Y. R. Yang, “Privacy-Preserving Location-Based Services for Mobile Users in Wireless Networks,” Yale Computer Science Technical Report YALEU/DCS/TR-1297, 2004.
[6]	T. S. Gunawan, M. Kartiwi and A. A. F. C. Omar, “Development of Web Application for Muslim Traveller with Emphasis on Social Networking,” ICCIT Conference, 26-28 June 2012, pp. 1-12.
[7]	L. Barkuus and A. Dey, “Location-Based Services for Mobile Telephony: A Study of Users’ Privacy Concerns,” 9th IFIP TC13 International Conference on Human-Computer Interaction, 9 July 2003, pp. 1-5.
[8]	D. Ashbrook and T. Starner, “Using GPS to Learn Significant Locations and Predict Movement across Multiple Users,” Personal and Ubiquitous Computing, Vol. 7, No. 5, 2003, pp. 275-286. doi:10. 1007/s00779-003-0240-0
[9]	I. E. Burbey, “Predicting Future Locations and Arrival Times of Individuals,” Ph.D. Research, Virginia University, Virginia, 2011.
[10]	A. Rodriguez-Carrion, C. Garcia-Rubio, C. Campo, A. Cortés Martín, E. Garcia-Lozano and P. Noriega-Vivas, “Study of LZ-Based Location Prediction and Its Application to Transportation Recommender Systems,” Sensors Journal, Vol. 12, No. 6, 2012, pp. 7496-7517.
[11]	C. S. Jensen, A. Friis-Christensen, T. B. Pedersen, D. Pfoser, S. Saltenis and N. Tryfona, “Location-Based Services: A Database Perspective,” Proceedings of ScanGIS, 2001, pp. 59-68.
[12]	R. J. Anderson and J. E. Maloney, “TDOA/GPS Hybrid Wireless Location System,” US Patent No. US7925274-B2, 2011.
[13]	“Analysis: Are Mobile Ads the Next Goldrush?” Wireless News, 2007. http://wirelessfederation. com/news/category/informa-telecoms/
[14]	K. Delaney, “How Yahoo Plans to Get Things Going on the Go”, Wall Street Journal, 2007.
[15]	S. Dhar and U. Varshney, “Challenges and Business Models for Mobile Location-Based Services and Advertising,” Communications of the ACM, Vol. 54, No. 5, 2011, pp. 121-128.
[16]	M. Abo-Zahhad, S. M. Ahmed and M. Mourad, “Future Location Prediction of Mobile Subscriber over Mobile Network Using Intra Cell Movement Pattern Algorithm,” International Conference on Communications, Signal Processing, and Their Applications, Sharjah, December 14 2012, pp. 1-6.