
Approximation Algorithms for Load-balanced Virtual Backbone
83
Pr[y ≥(1 +
μ
)
α
(y
∗
+
ϕ
)] = n
1
n
3
=
1
n
2
. (4.25)
Again,
n>0
1
n
2
is a particular case of the Riemann zeta function, which is bounded.
Thus, according to the Borel-Cantelli lemma, Pr[y ≥ (1 +
μ
)
α
(y
∗
+
ϕ
)] ∼ 0, where
α
=
3log(n)
min{a
∗
ij
|a
∗
ij
>0}
. This implies that Algorithm 5 yields a solution of performance
O(log(n))y
∗
,wherey
∗
is the optimal solution.
Subsequently, we consider the probability that a non-backbone node v
j
∈V\B is
not allocated to a backbone node in its one-hop neighborhood at iteration j.Thatis,
α
k=1
v
i
∈N
1
(v
j
), v
i
∈B
Pr[b
i
a
ij
= 0 at iteration k] (4.26)
≤
α
k=1,a
∗
ij
>0
(1 −b
i
a
∗
ij
) (4.27)
≤ e
b
i
a
∗