Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

On the quality and value of information in sensor networks

On the quality and value of information in sensor networks On the Quality and Value of Information in Sensor Networks CHATSCHIK BISDIKIAN, IBM Research LANCE M. KAPLAN, U.S. Army Research Laboratory MANI B. SRIVASTAVA, University of California, Los Angeles Dedicated to the memory of Dr. Chatschik Bisdikian The increasing use of sensor-derived information from planned, ad-hoc, and/or opportunistically deployed sensor networks provides enhanced visibility to everyday activities and processes, enabling fast-paced datato-decision in personal, social, civilian, military, and business contexts. The value that information brings to this visibility and ensuing decisions depends on the quality characteristics of the information gathered. In this article, we highlight, refine, and extend upon our past work in the areas of quality and value of information (QoI and VoI) for sensor networks. Specifically, we present and elaborate on our two-layer QoI/VoI definition, where the former relates to context-independent aspects and the latter to context-dependent aspects of an information product. Then, we refine our taxonomy of pertinent QoI and VoI attributes anchored around a simple ontological relationship between the two. Finally, we introduce a framework for scoring and ranking information products based on their VoI attributes using the analytic hierarchy multicriteria decision process, illustrated via a simple example. Categories and Subject Descriptors: C.2.1 [Computer-Communication http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Sensor Networks (TOSN) Association for Computing Machinery

On the quality and value of information in sensor networks

Download PDF
26 pages

Loading next page...
 
/lp/association-for-computing-machinery/on-the-quality-and-value-of-information-in-sensor-networks-ydhkXqvkOc
Publisher
Association for Computing Machinery
Copyright
Copyright © 2013 by ACM Inc.
ISSN
1550-4859
DOI
10.1145/2489253.2489265
Publisher site
See Article on Publisher Site

Abstract

On the Quality and Value of Information in Sensor Networks CHATSCHIK BISDIKIAN, IBM Research LANCE M. KAPLAN, U.S. Army Research Laboratory MANI B. SRIVASTAVA, University of California, Los Angeles Dedicated to the memory of Dr. Chatschik Bisdikian The increasing use of sensor-derived information from planned, ad-hoc, and/or opportunistically deployed sensor networks provides enhanced visibility to everyday activities and processes, enabling fast-paced datato-decision in personal, social, civilian, military, and business contexts. The value that information brings to this visibility and ensuing decisions depends on the quality characteristics of the information gathered. In this article, we highlight, refine, and extend upon our past work in the areas of quality and value of information (QoI and VoI) for sensor networks. Specifically, we present and elaborate on our two-layer QoI/VoI definition, where the former relates to context-independent aspects and the latter to context-dependent aspects of an information product. Then, we refine our taxonomy of pertinent QoI and VoI attributes anchored around a simple ontological relationship between the two. Finally, we introduce a framework for scoring and ranking information products based on their VoI attributes using the analytic hierarchy multicriteria decision process, illustrated via a simple example. Categories and Subject Descriptors: C.2.1 [Computer-Communication

Journal

ACM Transactions on Sensor Networks (TOSN) – Association for Computing Machinery

Published: Jul 1, 2013

There are no references for this article.