MonteCarlo {Opportunistic}

Monte Carlo broadcasts/transmissions/receptions for an Opportunistic model

Description

This function estimates via Monte Carlo the probability of success and the expected values of the number of broadcasts, transmissions and receptions for an Opportunistic model.

Usage

MonteCarlo(p, M = 10^4)

Arguments

p

vector of probabilities of length N where N represents the number of hops

M

Total number of Monte Carlo simulations

Details

N is computed from p length. M is code10^4 by default.

Value

A vector with the success probability and expected values (broadcast, transmissions and receptions) for an N Opportunistic model.

Author(s)

Christian E. Galarza and Jonathan M. Olate

References

Biswas, S., & Morris, R. (2004). Opportunistic routing in multi-hop wireless networks. ACM SIGCOMM Computer Communication Review, 34(1), 69-74.

See Also

routes, Expected

Examples

#Monte Carlo simulation for an N=3 Opportunistic system with probabilities
#p = c(0.0,0.4,0.1)

res2 = MonteCarlo(p=c(0.9,0.4,0.1),M=10^4)
res2