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Accurate prediction of mobility into publish/subscribe

Published: 03 November 2013 Publication History

Abstract

The prediction of mobility is among the most important problem that requires to be examined for the management of mobility in mobile computing systems. In this paper, we offer a new algorithm for predicting accurately the next reached broker of a mobile subscriber in a publish/subscribe system. In the first step of our work, the mobility patterns between the different brokers are collected from the history of the handoffs. In the second step, the threshold values and handoff probabilities for the different brokers are calculated from these patterns. In the last step, mobility predictions are achieved by using the different calculated values.

References

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Cited By

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  • (2016)Leveraging on Mobility Models for Sensor Network Lifetime ModelingProceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access10.1145/2989250.2989254(155-162)Online publication date: 13-Nov-2016

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Published In

cover image ACM Conferences
MobiWac '13: Proceedings of the 11th ACM international symposium on Mobility management and wireless access
November 2013
168 pages
ISBN:9781450323550
DOI:10.1145/2508222
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 November 2013

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Author Tags

  1. mobile computing
  2. mobility
  3. prediction
  4. publish/subscribe

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MSWiM '13
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MobiWac '13 Paper Acceptance Rate 21 of 68 submissions, 31%;
Overall Acceptance Rate 83 of 272 submissions, 31%

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View all
  • (2016)Leveraging on Mobility Models for Sensor Network Lifetime ModelingProceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access10.1145/2989250.2989254(155-162)Online publication date: 13-Nov-2016

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