System Maintenance:
There may be intermittent impact on performance while updates are in progress. We apologize for the inconvenience.
By Topic

Energy-efficient visual monitoring based on the sensing relevancies of source nodes for wireless image 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
$31 $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

2 Author(s)
Costa, D.G. ; Dept. of Comput. & Autom., Fed. Univ. of Rio Grande do Norte, Rio Grande, Brazil ; Guedes, L.A.

Image transmissions over wireless sensor networks will typically demand more energy resources than transmission of scalar data, potentially impacting the expected network lifetime. In wireless image sensor networks, some monitoring quality loss may be tolerated since visual information retrieved from source nodes may have different relevance for the application, according to the desired monitoring tasks and the current sensors' poses and fields of view. Based on such sensing relevancies, we propose an energy-efficient visual monitoring mechanism where the frequency of image snapshots transmitted by each source node will be a function of the monitoring relevance of the node for the application. Doing so, we achieve energy saving over the active paths as lower relevant source nodes will transmit fewer images in a period of time, but with low impact to the monitoring functions of the application since sufficient information is still received from the most relevant source nodes. We simulated different communication scenarios to show the expected energy saving when the proposed solution is employed.

Published in:

Sensors Applications Symposium (SAS), 2012 IEEE

Date of Conference:

7-9 Feb. 2012