NDLI: Toward aggregating time-discounted information

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Toward aggregating time-discounted information

Toward aggregating time-discounted information

Content Provider	ACM Digital Library
Author	Olariu, Stephan Weigle, Michele C. Mohrehkesh, Shahram
Abstract	This paper provides a way to think formally about the aggregation processes that take place in networks where individual actors (whether sensors, robots, or people) possess data whose value is discounted over time. The various actors use data to make decisions: the larger the value, the better (i.e. more informed) the decision. At every moment, individual actors have the choice of making a decision or else to defer decision to a later time. However, the longer they wait, the lower the value of the data they hold. To counter-balance the effect of time discounting, we define an algebraic operation that we call aggregation, whereby two or more actors integrate their data in the hope of increasing its value. Our main contribution is a formal look at the value of time-discounted information and at the algebra of its aggregation. We allow aggregation of time-discounted information to proceed in an arbitrary, not necessarily pairwise, manner. Our model relates aggregation decisions to the ensuing value of information and suggests natural thresholding strategies for the aggregation of the information collected by sets of network actors. A sensor network with the mission of intrusion detection is used throughout as an illustrative example. The accuracy of our theoretical predictions was confirmed by simulating a number of realistic scenarios.
Starting Page	57
Ending Page	66
Page Count	10
File Format	PDF
ISBN	9781450323673
DOI	10.1145/2509338.2509340
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-10-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Information aggregation Time-discounted information Sensor networks Mission-oriented systems
Content Type	Text
Resource Type	Article

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