By Topic

Sensor beamforming with distributed mobile elements in a wireless sensor network

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)
William A. Lintz ; Department of Electrical and Computer Engineering, Naval Postgraduate School, 1 University Circle, Monterey, CA 93943, USA ; John C. McEachen ; Murali Tummala

Sensor array beamforming performance using independently mobile antennas connected through a wireless sensor network is analyzed where a performance metric is proposed enabling mitigation of the perturbation of array factor formation caused by dynamic node positions. Wireless networking has expanded array design possibilities to include wirelessly connected elements; however, static positioning of elements remains central to determination and application of weights necessary for coherent array beam formation. Wireless networks allow for participant mobility, but applied weights must be reformed for each position update in order to maintain target focus. While deterministic motion allows easy weight translation, random element motion requires significant network energy to reform weights through position updates. The relationship between array factor and stochastic element motion is analyzed. A relationship is developed between motion and array factor magnitude probability towards the intended target vector. The relationship proposed is shown to be assessable and useful for reducing network traffic and processing overhead and while producing operationally acceptable gain towards the target. The result compares favorably against a constant position updating model in terms of sensor energy usage across the network.

Published in:

Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on

Date of Conference:

3-6 May 2009