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Then, the initial condition of Logistic map can be estimated using Equation 2. SDM has low computational complexity and it is useful for general chaotic map.

Using this information, the velocity of the particle can be estimated using Equation 1.

The expected delay when using Set Scheduling can be estimated using Equation (14).

and π B ∗ can be estimated using Equation 12. Therefore, the FEC redundancy can be obtained i.f.f Φ is determined.

The expected delay due to resource assignment in block by block scheduling can be estimated using Equation 6. E [ Delay ] = E [ N ] ⋅ τ s. (6).

Assuming an adiabatic system (this process occurs in less than 40 ns; therefore, this assumption is reasonably accurate), the minimum required energy Em can be estimated using Equation 2: E m = m Au - NP C P, Au T m, Au - NP – T 0 + m apex C P, Si T m, Au - NP – T 0 = 4.27 × 10 - 15 J. (2).

The increase in GFR induced by lead can be estimated using equations relating the GFR to CreatS, CystCS, and B2MS (Donadio et al. 2001; Risch et al. 1999).

Therefore, the estimated divergence time for MDHC-I and MDHC-II was estimated (using Equation 2) to be about 0.39 ± 0.09 mya.

Values for these coefficients were estimated using equation E-2 assuming homogenous mixing.

Then, run-off contribution, Rin (m), to each waterhole was estimated using Equation 4: R in = α × P × A ws A wh (4).

The node lifetime is estimated using Equation 6: LT N i = RE i nT / E D i n, t ∈ nT, n + 1 T (6).