An Analytical Framework for Disconnection Prediction in Wireless Networks

Gitanjali Bhutani

Published 2014 in Int'l J. of Communications, Network and System Sciences

ABSTRACT

The stability and reliability of links in wireless networks is dependent on a number of factors such as the topology of the area, inter-base station or inter-mobile station distances, weather conditions and so on. Link instability in wireless networks has a negative impact on the data throughput and thus, the overall quality of user experience, even in the presence of sufficient bandwidth. An estimation of link quality and link availability duration can drastically increase the performance of these networks, allowing the network or applications to take proactive measures to handle impending disconnections. In this paper we look at a mathematical model for predicting disconnection in wireless networks. This model is originally intended to be implemented in base stations of cellular networks, but is independent of the wireless technology and can thus be applied to different types of networks with minimum changes.

PUBLICATION RECORD

  • Publication year

    2014

  • Venue

    Int'l J. of Communications, Network and System Sciences

  • Publication date

    2014-06-17

  • Fields of study

    Computer Science, Engineering

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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