Wireless control systems bring several advantages over traditional wired industrial monitoring and control systems, including self-organization, flexibility, rapid deployment, and maintenance. However, wireless network delay and packet loss can result in two main challenges for the control system: instability and performance degradation. This thesis aims at solving these two major challenges. We develop a fault-tolerance network design and a novel computational model to quantify the control system stability requirement based on the network design. We explore a network reconfiguration framework with time-correlated link failures to improve control system performance. Different techniques have been explored to embody this framework. Accordingly, a precise analytical model and different reconfiguration algorithms have been developed to quantify and improve the performance, respectively. In this document, I summarize my progress in the development of wireless sensor network for the control system and propose to continue the research in two aspects. Firstly, I propose to further explore a network reconfiguration scheme based on a space-correlated link failure model. I will conduct a case study to evaluate the reconfiguration scheme. Then, I propose to develop a cross-layer network flow scheduling algorithm with known application demands. I will study the impact of real-time scheduling on control system performance via another case study.