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Vehicular communication requires continuous connectivity between a vehicle and an 802.11 AP. Due to the random nature of AP deployment, there will always be some inherent disruption that eventually limits the use of 802.11-based vehicular communication. In order to prevent disruption from affecting vehicular communication experience, different disruption tolerant algorithms have been proposed in various previous works. However, to the best of authors’ knowledge, no method of measuring disruption is available in the literature. Measuring disruption requires a complete mathematical representation of an R2V communication scenario. Although the previous chapter gives an elementary Markov model, it needs to incorporate more detail regarding R2V communication to better reflect the characteristics of this scenario. This chapter takes into account the authentication scheme of the APs and modifies the Markov model to a hidden Markov model (HMM). It has been shown in this chapter that the developed HMMs can be used to compare and analyze the connectivity patterns of two different geographical areas in terms of disruption. The discussion begins with a brief introduction to the hidden Markov model and its associated notations and terminologies. The notation described in the next section shall be used throughout the chapter (unless stated otherwise).
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- Disruption in Vehicular Communications
Syed Faraz Hasan
- Chapter 5
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