Network Capacity Region and Minimum Energy Function for a Delay-Tolerant Mobile Ad Hoc Network
Rahul Urgaonkar, Michael J. Neely

TL;DR
This paper characterizes the capacity and energy efficiency of delay-tolerant mobile ad hoc networks with Markovian mobility, providing exact bounds and near-optimal schemes balancing delay and power consumption.
Contribution
It introduces a cell-partitioned model with Markovian mobility to exactly compute capacity and energy bounds, and proposes simple schemes near these bounds.
Findings
Exact computation of network capacity region.
Derivation of minimum energy function.
Performance guarantees close to theoretical bounds.
Abstract
We investigate two quantities of interest in a delay-tolerant mobile ad hoc network: the network capacity region and the minimum energy function. The network capacity region is defined as the set of all input rates that the network can stably support considering all possible scheduling and routing algorithms. Given any input rate vector in this region, the minimum energy function establishes the minimum time average power required to support it. In this work, we consider a cell-partitioned model of a delay-tolerant mobile ad hoc network with general Markovian mobility. This simple model incorporates the essential features of locality of wireless transmissions as well as node mobility and enables us to exactly compute the corresponding network capacity and minimum energy function. Further, we propose simple schemes that offer performance guarantees that are arbitrarily close to these…
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