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Effective Location Acquisition Control Algoritsm Of The Location-Based Alert Service In Mobile Environtments

2010
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : So-Young Kang , Kwang-Jo Lee , Sung-Bong Yang, International Journal of Computer Networks & Communications (IJCNC
Dibuat : 2012-06-23, dengan 1 file

Keyword : Location-based alert services, LBS, Location information acquisition, Distance-based acquisition algorithm.
Subjek : Effective Location Acquisition Control Algoritsm Of The Location-Based Alert Service In Mobile Environtments
Url : http://airccse.org/journal/cnc/0110s03.pdf
Sumber pengambilan dokumen : Internet

The location-based alert services can be regarded as the one of the most practical location-based


services. For the services, an alert service system for the services alerts mobile device users when they


enter into or leave from predefined specific regions, and provides certain services previously asked by the


users for special purposes such as security. For providing proper services the alert service system should


acquire the location information of the users periodically. However, the system that handles the locations


of the users may face serious problems as the number of users increases fast. Hence it is a critical issue to


properly adjust the time interval of location data acquisitions while maintaining the accuracy of the


services. In this paper we propose effective location acquisition algorithms; the speed-based acquisition


algorithm, the angle–based acquisition algorithm, and the hybrid algorithm combining the speed with the


angle-based algorithms. We also present three grid-based acquisition algorithms in which a longer time


interval is used when a user is not near the alert areas. The proposed algorithms could reduce the


amount of location information to be acquired based on the movement of the users. The average numbers


of location acquisitions of the speed-based, the angle–based, and the hybrid algorithms were reduced by


19.2%, 35.8%, and 35.6% over the distance-based algorithm, respectively, while they maintained the


almost same level of accuracy. Among the grid-based algorithms, the grid-angle acquisition algorithm


further improved the average number of acquisitions by 5.2% over the angle-based algorithm, which is


41.0% improvement over the distance-based algorithm. The experimental results also show that all the


grid-based algorithms showed almost equal accuracy

Deskripsi Alternatif :

The location-based alert services can be regarded as the one of the most practical location-based


services. For the services, an alert service system for the services alerts mobile device users when they


enter into or leave from predefined specific regions, and provides certain services previously asked by the


users for special purposes such as security. For providing proper services the alert service system should


acquire the location information of the users periodically. However, the system that handles the locations


of the users may face serious problems as the number of users increases fast. Hence it is a critical issue to


properly adjust the time interval of location data acquisitions while maintaining the accuracy of the


services. In this paper we propose effective location acquisition algorithms; the speed-based acquisition


algorithm, the angle–based acquisition algorithm, and the hybrid algorithm combining the speed with the


angle-based algorithms. We also present three grid-based acquisition algorithms in which a longer time


interval is used when a user is not near the alert areas. The proposed algorithms could reduce the


amount of location information to be acquired based on the movement of the users. The average numbers


of location acquisitions of the speed-based, the angle–based, and the hybrid algorithms were reduced by


19.2%, 35.8%, and 35.6% over the distance-based algorithm, respectively, while they maintained the


almost same level of accuracy. Among the grid-based algorithms, the grid-angle acquisition algorithm


further improved the average number of acquisitions by 5.2% over the angle-based algorithm, which is


41.0% improvement over the distance-based algorithm. The experimental results also show that all the


grid-based algorithms showed almost equal accuracy

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