M07 – BERLIN 22/02/2016 ‐ 26/02/2016

Modeling, analysis and design of wireless sensor and actuator networks

Alessandro D’Innocenzo
Department of Information Engineering,
Computer Science and Mathematics
Center of Excellence DEWS, University of L’Aquila, Italy
     Carlo Fischione
    School of Electrical Engineering
    Department of Automatic Control
    KTH (Royal Institute of Technology), Sweden 

Abstract  of the course:

The massive deployment of smart and wirelessly interconnected devices in cyber physical systems is providing extensive information from the physical world through distributed sensing mechanisms. With the emergence of low-cost controllers/actuators that can be potentially embedded in everything (e.g., vehicles, robots, buildings, human body), the sensed information can be utilized to act and perform control, estimation and monitoring at an unprecedented scale. This is demanding the development of Wireless Sensor Network and Actuators Networks (WSAN) fundamental design principles so to reliably and certifiably observe the physical world, processing the data, making decisions based on the sensor observations and performing appropriate control actions. This course is devoted to the study of such systems.
WSAN may require low latency, reliable communications and controls, and even energy efficient operations when energy is a scarce resource. This is challenging because reliability and latency are at odds, and resource constrained nodes may support only simple algorithms. In this course, a system-level design approach for co-design of Control Systems and Protocols supporting control applications over WSAN is given: in particular, we will discuss the following scenarios:
Control-aware network design, when the protocol parameters can be adapted by an optimization problem whose objective function is a network or control utility, and the constraints are the reliability and latency of the messages as requested by a control application: these algorithms allow the network to meet the reliability and latency required by the control application while taking into account network and control costs;
Network-aware controller design, when the controller can be adapted to guarantee some control specifications robustly with respect to networking non-idealities;
Joint optimization (or co-design) of controller, networking layer, medium access control layer and physical layer;
Cross-layer adaptation and optimization, where desirable signaling between communication layers enable simultaneous computation of control actions and networking configuration to improve the overall system performance.


  • Wireless channel and protocol layers modeling over WSAN
  • Mathematical modeling of closed-loop systems over WSAN
  • Robust, resilient and secure control co-design over WSAN
  • Distributed estimation and optimization over WSAN
  • Discussion of open problems and opportunities for research