In supporting mission-critical tasks such as those in industrial automation and the next-generation vehicles, message passing in wireless networked sensing and control systems is required to be reliable and in real-time. Nonetheless, the design priorities on reliability and real-time require us to rethink the models and protocols for messaging, we still lack an interference model that is local and accurate for distributed protocol design, and the basic problem of computing probabilistic path delays is NP-hard. Focusing on single-hop transmission scheduling and multi-hop spatiotemporal data flow control, we address these challenges by pursuing the following tasks: 1) Based on our physical-ratio-K (PRK) interference model, we investigate control-theoretic approaches to online model instantiation, and we address the challenges of large interference range as well as anisotropic, asymmetric wireless communication; 2) We propose a lightweight approach  to computing probabilistic path delays, and we propose a multi-timescale adaptation framework for real-time messaging. The proposed research makes novel contributions to the models, protocols, and network planning tools for reliable, real-time wireless messaging. For instance, our PRK interference model integrates protocol model's locality with physical model's high-fidelity, thus it bridges the gap between the suitability for distributed implementation and the enabled scheduling performance. By controlling network operations at the same timescale of the corresponding dynamics, our multi-timescale adaptation framework ensures long-term optimality while addressing short-term dynamics at the same time.

Along with the research, we also pursue an integrated, multi-level, multi-component education plan. Our education activities will raise public awareness and will improve student retention and the participation of underrepresented groups in computing.

This project proposes a cross-layer framework in which vehicular wireless networking and platoon control interact with each other to tame cyber-physical uncertainties. Based on the real-time capacity region of wireless networking and the physical process of vehicle movements, platoon control selects its control strategies and the corresponding requirements on the timeliness and throughput of wireless data delivery to optimize control performance. Based on the requirements from platoon control, wireless networking controls co-channel interference and adapts to cyber-physical uncertainties to ensure the timeliness and throughput of single-hop as well as multi-hop broadcast. For proactively addressing the impact of vehicle mobility on wireless broadcast, wireless networking also leverages input from platoon control on vehicle movement prediction. In realizing the cross-layer framework, wireless scheduling ensures agile, predictable interference control in the presence of cyber-physical uncertainties. Networked control with random topology switching and time delay serves as a new framework for platoon control as well as for control theory as a discipline and for stochastic differential equations as a mathematical subject. The mathematical tools serve as a foundation for reasoning about the jointly-optimized wireless networking and platoon control.

This project will enable the development of wireless vehicular CPS towards safe, efficient, and clean transportation. The principles and techniques for taming cyber-physical uncertainties will provide insight into other application domains of wireless networked sensing and control such as unmanned aerial vehicles and smart power grids. This project will also enable integrative research and education in wireless CPS through a multi-level, multi-component education practice.

WiMAX represents a latest broadband wireless access technology that employees cutting-edge wireless communication techniques such as MIMO and OFDMA, and it serves as a basic platform for evaluating broadband wireless access in real-world settings. WiMAX is expected to play a major role in areas such as smart grid, smart transportation, vehicular infotainment, and community Internet access. Towards building an experimental infrastrcuture for research, education, and application exploration, this project will deploy a multi-sector/cell WiMAX network in Metro Detroit which supports handoff, virtualization, and scientific measurement. The WiMAX network will be connected via VLAN to the GENI backbone network. This project will also develop and deploy a WiMAX mobile station platform that supports scientific measurement as well as application exploration. This GENI WiMAX network is expected to enable research, education, and application exploration in smart transportation, smart grid, wireless networked sensing and control, and community services.

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