Title :
Accurate Probability Distribution of Rehealing Delay in Sparse VANETs
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Normal Univ., Taipei, Taiwan
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.
Keywords :
statistical distributions; vehicular ad hoc networks; VANET; accurate probability distribution; exponential-like mixed random variable; highway vehicular ad-hoc networks; steady-state probability distribution; successive network disconnections; Analytical models; Approximation methods; Delays; Random variables; Road transportation; Steady-state; Vehicles; Vehicular ad-hoc networks (VANETs); probability distribution; rehealing delay;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2015.2426716