Information Theoretic Measures for Sensor Network Design for Large Scale Systems

The problem of sensor network design is to select appropriate variables to be measured in a process. Additionally, decisions such as type and number of sensors to be used for measuring the variable and the sampling rates are also part of the sensor netwrok design problem. In literature, various diagnostic and reliability related criteria have been used to design optimal sensor networks. This work will investigate information theoretic criteria for making these decisions. In particular, the work will consider both quality of estimation as well as the reliability of estimates. The developed techniques will be applied to large scale flow networks such as water distribution networks to design optimal measurement systems. Graph theoretic tools will be used to facilitate this implementation.

Scope of the work: Theoretical/computational. 

Proposing Faculty
Research Area
  • Data Analysis
  • Optimisation
  • Process Control
  • Process Safety Analysis