This chapter presents a resource optimization framework for wireless networks used for information exchange among the nodes of a distributed control system. In particular, the proposed framework achieves an optimal tradeoff between end-to-end delay robustness and network throughput for given delay thresholds imposed by the control application layer. To select an objective function for delay robustness, which can provide the desired tradeoff optimally, we employ sensitivity analysis. For maximizing the network throughput, an effective link transmission rate based power control problem is solved. The proposed resource optimization framework is then extended using an iterative suboptimal cross-layer algorithm to improve the link congestion fairness. Performance evaluation results show that a small compromise in the network throughput can provide a large delay robustness depending on the operating point. An improvement in the link congestion fairness performance at the cost of reduced network throughput is also studied.