Performance Evaluation of LZ-Based Location Prediction Algorithms in Cellular Networks Articles uri icon

publication date

  • August 2010

start page

  • 707

end page

  • 709

issue

  • 8

volume

  • 14

international standard serial number (ISSN)

  • 1089-7798

electronic international standard serial number (EISSN)

  • 1558-2558

abstract

  • In mobile phones, it is useful to know the most probable next location to make decisions about future actions. In this letter we compare three LZ based prediction algorithms. The originality of our work is that we make it in a cellular network, we separate the algorithms into two independent phases (tree updating and probability calculation), we have included Active LeZi in the study, and we evaluate hit rate and resource consumption, including processing time.

keywords

  • lz; cellular networks; location; prediction