A predictive location management scheme by extracting the unique sub-patterns from the mobility logs

  • Authors:
  • Subrata Nandi;Sanjib Sadhu

  • Affiliations:
  • Indian Institute of Technology, Kharagpur;National Institue of Technology, West Bengal, India

  • Venue:
  • ICDCN'06 Proceedings of the 8th international conference on Distributed Computing and Networking
  • Year:
  • 2006

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Abstract

We propose a predictive scheme, where the MT stores only current day movement log and sends this log to MSC during off-peak hours. The MSC performs offline computation to find unique sub-patterns and hot cells from pattern logs. The hot cells are downloaded in the MT which sends an update when it leaves a hot cell thus enables the MSC to identify the sub-pattern to be followed next. On arrival of a call the MSC performs selective paging Analytical study shows the total location management cost using the proposed scheme is far better than distance-based location management scheme.