Advances in Pervasive Computing and Networking

Our first main result is to derive, from the above four tradeoffs, the upper bound on the optimal capacity-delay tradeoff of mobile wireless networks under the i.i.d. mobility model. Since the maximal achievable per-node capacity is ?(1) and this capacity can be achieved with ?( n) delay by the scheme of [3], we are only interested in the case when the mean delay is o( n).
Let D be the mean delay averaged over all bits and all source-destination pairs, and let ? be the throughput of each source-destination pair. If D = O( n d),0 ? d < 1, the following upper bound holds for any causal scheduling policy,

Proof: Using the Cauchy-Schwartz inequality, we have
| (2.10) | ![]() |
where in the last step we have used Tradeoff IV (2.9). Equality holds in (2.10) when inequality (2.9) is tight and when
is equal for all b and h. We thus have,

| (2.11) | ![]() |
| (2.12) | ![]() |
where in the last two steps we have used Jensen's Inequality and the Tradeoff II
(2.6), respectively. Inequality (2.11) is tight when
is almost surely a constant, and (2.12) is tight when (2.6) is tight.
From Tradeoff I (2.4), we have
| (2.13) | ![]() |
Let

Using Jensen's Inequality and Holder's Inequality, we have,
| (2.14) | ![]() |
Equality holds when E[ l b] is the same for all b and E[ D b] =