Simulation Study of a Class of Autonomous Host-Centric Mobility Prediction Algorithms for Wireless Cellular and Ad Hoc Networks

  • Authors:
  • Ing-Ray Chen;Naresh Verma

  • Affiliations:
  • -;-

  • Venue:
  • ANSS '03 Proceedings of the 36th annual symposium on Simulation
  • Year:
  • 2003

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Abstract

We propose and analyze a class of autonomous host-centric mobility prediction algorithms viasimulation for predicting future movements of mobile hosts based on recent and past movement historiesobserved. These mobility prediction algorithms are "autonomous" and "host -centric" since they requireindividual mobile hosts, rather than fixed base stations, to collect and maintain mobility prediction data,thus making them applicable to both cellular and ad hoc wireless networks. Each mobile host under theseautonomous host-centric mobility prediction algorithms is capable of predicting the probability that it willleave the current location to the next location within a time period, thus facilitating resource reservation androute maintenance decisions, as well as for estimating the mobile host's residence time. We describe asimulation environment for evaluating the prediction accuracy for this probability metric by thesealgorithms, and present the evaluation results with physical interpretations and their applicability given.