MonteCarlo: Monte Carlo broadcasts/transmissions/receptions for an...
In Opportunistic: Routing Distribution, Broadcasts, Transmissions and Receptions in an Opportunistic Network
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
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
1
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
Examples
1
2
3
4
5
#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
Opportunistic documentation built on May 2, 2019, 8:15 a.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
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
1 | MonteCarlo(p, M = 10^4)
|
Arguments
p |
vector of probabilities of length |
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
Examples
1 2 3 4 5 | #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
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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