D. Turgut and L. Bölöni

A pragmatic value-of-information approach for intruder tracking sensor networks


Cite as:

D. Turgut and L. Bölöni. A pragmatic value-of-information approach for intruder tracking sensor networks. In Proc. of IEEE Int. Conf. on Communications (ICC-2012), pp. 4931–4936, June 2012.

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Abstract:

Sensor networks are distributed systems where nodes embedded in the environment collect readings through their sensors and transmit data to customers. The overall goal of these systems can be stated as maximizing a metric of the sensing quality while limiting the consumption of a set of scarce resources. In this paper we consider an intruder detection and tracking system where the sensing quality is a metric of the pragmatic value of the information provided by the network. This metric depends not only on the quantity and accuracy of information, but also on when and how the customers will use this information. We design the system which adapts its information transmission to the disruptive decisions made by the user, including a consideration for the cost of incorrect decisions.

BibTeX:

@inproceedings{Turgut-2012-ICC,
title = "A pragmatic value-of-information approach for intruder tracking sensor networks",
author = "D. Turgut and L. B{\"o}l{\"o}ni",
booktitle = "Proc. of IEEE Int. Conf. on Communications (ICC-2012)",
year = "2012",
pages = "4931-4936",
month = "June",
location = "Ottawa, Canada",
doi = "10.1109/ICC.2012.6364380",
mynote = "Acceptance Rate: 37\%",
abstract = {
  Sensor networks are distributed systems where nodes embedded in the
  environment collect readings through their sensors and transmit data
  to customers. The overall goal of these systems can be stated as
  maximizing a metric of the sensing quality while limiting the
  consumption of a set of scarce resources.
  In this paper we consider an intruder detection and tracking system
  where the sensing quality is a metric of the pragmatic value of the
  information provided by the network. This metric depends not only on
  the quantity and accuracy of information, but also on when and how
  the customers will use this information. We design the system which
  adapts its information transmission to the disruptive decisions made
  by the user, including a consideration for the cost of incorrect
  decisions.
 },
}

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