2 research outputs found
Scalable and efficient data processing in networked control systems
Network control systems (NCSs) are spatially distributed systems in which the communication between sensors,
actuators and controllers occurs through a shared band-limited digital communication network. However, the use of a
shared communication network, in contrast to using several dedicated independent connections, introduces new
challenges which are even more acute in large scale and dense networked control systems. In this paper we investigate a
recently introduced technique of gathering information from a dense sensor network to be used in networked control
applications. Obtaining efficiently an approximate interpolation of the sensed data is exploited as offering a good tradeoff
between accuracy in the measurement of the input signals and the delay to the actuation. These are important aspects
to take into account for the quality of control. We introduce a variation to the state-of-the-art algorithms which we
prove to perform relatively better because it takes into account the changes over time of the input signal within the
process of obtaining an approximate interpolation
Scalable data acquisition for densely instrumented cyber-physical systems
Consider the problem of designing an algorithm for acquiring sensor readings. Consider specifically the problem of obtaining an approximate representation of sensor readings where (i) sensor readings originate from different sensor nodes, (ii) the number of sensor nodes is very large, (iii) all sensor nodes are deployed in a small area (dense network) and (iv) all sensor nodes communicate over a communication medium where at most one node can transmit at a time (a single broadcast domain). We present an efficient algorithm for this problem, and our novel algorithm has two desired properties: (i) it obtains an interpolation based on all sensor readings and (ii) it is scalable, that is, its time-complexity is independent of the number of sensor nodes. Achieving these two properties is possible thanks to the close interlinking of the information processing algorithm, the communication system and a model of the physical world