  Control of wireless multihop networks, while simultaneously meeting
end-to-end mean delay requirements of different flows is a challenging problem.
Additionally, distributed computation of control parameters adds to the
complexity. Using the notion of discrete review used in fluid control of
networks, a distributed algorithm is proposed for control of multihop wireless
networks with interference constraints. The algorithm meets end-to-end mean
delay requirements by solving an optimization problem at review instants. The
optimization incorporates delay requirements as weights in the function being
maximized. The weights are dynamic and vary depending on queue length
information. The optimization is done in a distributed manner using an
incremental gradient ascent algorithm. The stability of the network under the
proposed policy is analytically studied and the policy is shown to be
throughput optimal.
