Accurate Probability Distribution of Rehealing Delay in Sparse VANETs

Jeng Ji Huang

doi:10.1109/LCOMM.2015.2426716

Accurate Probability Distribution of Rehealing Delay in Sparse VANETs

Jeng Ji Huang^*

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

In this letter, rehealing delay is analyzed for disconnected highway vehicular ad-hoc networks (VANETs). In the analysis, cluster length is first approximated by a simple but accurate, exponential-like mixed random variable. The relation between two successive network disconnections is then discussed to obtain the steady-state probability distribution of rehealing delay. Simulations show that the proposed analysis significantly outperforms previous works in terms of accuracy.

Original language	English
Article number	7095520
Pages (from-to)	1193-1196
Number of pages	4
Journal	IEEE Communications Letters
Volume	19
Issue number	7
DOIs	https://doi.org/10.1109/LCOMM.2015.2426716
Publication status	Published - 2015 Jul

Keywords

Vehicular ad-hoc networks (VANETs)
probability distribution
rehealing delay

ASJC Scopus subject areas

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/LCOMM.2015.2426716

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abstract = "In this letter, rehealing delay is analyzed for disconnected highway vehicular ad-hoc networks (VANETs). In the analysis, cluster length is first approximated by a simple but accurate, exponential-like mixed random variable. The relation between two successive network disconnections is then discussed to obtain the steady-state probability distribution of rehealing delay. Simulations show that the proposed analysis significantly outperforms previous works in terms of accuracy.",

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AB - In this letter, rehealing delay is analyzed for disconnected highway vehicular ad-hoc networks (VANETs). In the analysis, cluster length is first approximated by a simple but accurate, exponential-like mixed random variable. The relation between two successive network disconnections is then discussed to obtain the steady-state probability distribution of rehealing delay. Simulations show that the proposed analysis significantly outperforms previous works in terms of accuracy.

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Accurate Probability Distribution of Rehealing Delay in Sparse VANETs

Abstract

Keywords

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