By Topic

Minimizing the operational cost of chemical sensor networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Shanika Karunasekera ; Department of Computer Science and Software Engineering, The University of Melbourne, VIC 3010, Australia ; Alex Skvortsov ; Ajith Gunatilaka

Minimizing the sensing activity during the pre-attack phase while meeting the performance requirements is critical for reducing the operational costs of chemical sensor networks. In this paper, we present a formal problem formulation for this optimization problem, and propose a decentralized, dynamic sensor activation protocol for meeting this goal. We analyze the behavior of the activation protocol using an epidemiology-based approach and derive analytical expressions for the system performance metrics, namely, operational cost, detection delay, probability of false alarms and probability of detection. We analyze the interdependency between the performance metrics.

Published in:

Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2010 Sixth International Conference on

Date of Conference:

7-10 Dec. 2010