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Predicting node location in a PCS network

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2 Author(s)
Navidi, W. ; Dept. of Math. & Comput. Sci., Colorado Sch. of Mines, Golden, CO, USA ; Camp, T.

Predicting the location of a mobile via a previously known location can reduce costs over non-predictive methods that always begin paging in the last known location. If the mobility pattern of a mobile can be described by a mathematical model, such as the Gauss-Markov model, a predictive management scheme based on that model is ideal. Typically, however, the mobility pattern of a mobile is too complex to be modeled accurately. In this paper, we propose an adaptive mobility management method which is not based upon a mathematical model. In our method, the location of a mobile is predicted solely on the basis of previously reported locations. We compare our method, through simulations, with a non-predictive method and a method based upon a mathematical model. The results show that our adaptive mobility management method performs well under a wide variety of mobility patterns.

Published in:

Performance, Computing, and Communications, 2004 IEEE International Conference on

Date of Conference: