CPS Projects

Wireless CPS in Process Control:

A wireless control system involves feedback control loops between sensors and actuators through a wireless mesh network. Sensors measure process variables, and deliver to a controller through the network. The controller sends control commands to the actuators, which then operate the control and safety components to adjust physical processes so the system's performance is optimized for efficiency and safety. Industrial CPS make critical demands for reliable and real-time communication between sensors and actuators in order to avoid plant shutdowns or accidents. We are working towards theory and system development for wireless CPS. Our remarkable contributions in this area include the establishment of a novel real-time wireless scheduling theory and a scheduling-control co-design framework for holistic optimization of control performance in wireless control systems. One related paper was Best Paper Award Nominee at RTAS 2012 (a flagship conference on embedded and real-time systems.)

For questions, please contact Prof. Abusayeed Saifullah: saifullah@wayne.edu

Industrial Process Control Network

CapNet (Wireless Networked System for Power Capping):

Modern Internet and enterprise data centers continue to scale to meet the growing cloud computing and storage demands by increasing the number of servers. For this large number of servers, cost-effective management (e.g., power management, deployment checks, health diagnostics, asset management) becomes increasingly important. Today, data center management network is built around a wired communication mechanism that is independent from the primary network infrastructure for redundancy and fault isolation reasons. Hence, the scalability of data center management network faces great challenge when the server rack configurations become increasingly dense. We are working towards developing wireless management network for large-scale data centers. In particular, we want to exploit low-bandwidth wireless technologies such as those based on IEEE 802.15.4 at the leaf layer of the management network. These networks can be built at very low cost, can self-configure, and are resilient to failures. Our remarkable contribution towards this goal is the development of CapNet, a real-time wireless sensor network system for data center power capping. CapNet was developed based on IEEE 802.15.4 for TinyOS platform. The related paper received the Best Paper Award at RTSS 2014. RTSS is regarded as the highest venue for real-time systems research.

For questions, please contact Prof. Abusayeed Saifullah: saifullah@wayne.edu

Data center Management Architecture

Parallel and Multi-Core Computing:

Multi-core processors are becoming mainstream in processor design technology. They can enable the emerging computation-intensive real-time CPS (e.g., autonomous vehicles) with stringent timing constraints that cannot be met on traditional single-core machines. To take full advantage of multi-core processing, these systems need to exploit intra-task parallelism, meaning that a task which itself is parallelizable should execute on multiple cores at the same time. However, most classic results in real-time scheduling concentrate on sequential tasks running on multiple cores. While they allow many tasks to execute simultaneously on a multi-core, they do not allow an individual task to run any faster on it than on a single-core machine. We are working towards developing real-time theory and systems for exploiting intra-task parallelism on multi-core. Our remarkable contributions towards this goal include multiple real-time parallel scheduling theories and capacity augmentation analyses for parallel task scheduling on multi-core platform. One related paper received the Best Student Paper Award at RTSS 2011.

For questions, please contact Prof. Abusayeed Saifullah: saifullah@wayne.edu