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According to the free space propagation model, the SNR of each link can be calculated by SNR = 10 log 10 P t P n c 4 πfd 2, (1).
In the following, we give a method on how the LLT of a link can be calculated when the wireless technology used over the link only supports line-of-sight (LOS) operations.
A tagged vehicle, on receiving the beacon message from a node, can perform the one-step ahead prediction of the location and relative speed of the particular node, from which the residual lifetime of the corresponding link can be calculated.
The output SNR Γ eq,R at the relay in virtual equivalent one-hop link can be calculated as: Gamma_{eq,R}=frac{1}{Delta}left(Q^{-1} left({P_{R}^{,e}}left(Gamma_{AR}, Gamma_{BR}right)right) right)^{2} ;, (17).
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Furthermore, using (13), the integrated wireless link reliability can be calculated by R L = ∏ n = 0 N R n L = ∏ n = 0 N 1 - 1 2 K erfc φ n K. (14).
Given that, on average, |H k, l |2 = 1 and X σ = 0, the minimum average interfering link gain can be calculated when the interfering MS is located at the maximum distance dmax = dIS from the vulnerable BS (i.e., next to a neighbouring BS): L ( d max ) = 15. 3 + 37. 6 log 10 ( 350 ) = 110.
GRENITS uses a Markov chain Monte Carlo (MCMC) algorithm to implement Bayesian inference on the sparse network model (1), giving samples of the network from which link probabilities can be calculated.
The molecular mass between cross-links, Mc can be calculated via Eq. (10), in which ρ is the density of the xerogl.
Step 3: Link choice probability The probability that a trip from node r to node s chooses link ( l_{ij} ) can be calculated as follows: p_{ij}^{rs} = frac{{w_{ri} exp left( { - theta c_{ij} } right)tau_{ij}^{ - beta } w_{js} }}{{w_{rs} }}, (8 where ( p_{ij}^{rs} ) is the probability of choosing link ( l_{ij} ) from node r to node s.
Finally, the link cost metrics can be calculated as: begin{array}rcl@ Link_{cost}=P_{mathrm{d}}+P_{mathrm{q}}+P_{mathrm{h}}+P_{mathrm{u}}+P_{l} end{array} (18).
The transfer function of a propagation path that represents a link in Figure1 can be calculated as: A e ( f ) = g e ( f ) exp ( j 2 π τ e f + j ϕ ), (2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com