By Topic

Energy efficient distributed power management algorithm with directional antenna for wireless 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

2 Author(s)
Pradhan, N. ; Dept. of Electr. Eng., City Univ. of New York, New York, NY, USA ; Saadawi, T.

Energy efficiency is an important consideration in a battery powered wireless sensor network (WSN). We propose an energy efficient Distributed Power Management algorithm with Directional Antenna (DDISPOW) that adaptively manages nodes' power in a dynamic wireless network to preserve network connectivity and reduce interference cooperatively. DDISPOW, with adequate transmit power, is capable of providing strongly connected reliable network. It stabilizes node connectivity over the dynamic network environment and attempts to prevent nodes from being completely disconnected from the network. It highlights the benefits of using directional antenna with lower average power, reduced interference and as much as 31% improved throughput. It will be shown that DDISPOW, while adaptively maintaining network connectivity and improving network performance, is energy efficient and significantly reduces interference when compared to common power strategy. It also alleviates the dependency of common node power strategy on few nodes that are isolated in the network by their physical location and surrounding network environment.

Published in:

Sarnoff Symposium, 2011 34th IEEE

Date of Conference:

3-4 May 2011