Cart (Loading....) | Create Account
Close category search window
 

Energy efficient workforce selection in special-purpose 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
$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)
AbdelSalam, H.S. ; Comput. Sci. Dep. Old Dominion Univ. Norfolk, Norfolk, VA ; Rizvi, S.R.

Sensors are typically powered by non-renewable energy sources (e.g. batteries). This fact makes sensors energy very precious resource that must be saved and used wisely. Many protocols have been proposed to optimize energy consumption in different areas of WSNs (e.g. MAC, routing, data aggregation, etc). However, literature has paid less attention to energy efficient workforce management, namely the way sensors are being recruited. In this work, we show that tasking sensors improperly may result in severely uneven consumption of sensors energy. This can negatively impact network performance through reducing network density, creating energy holes or reducing network lifetime. For the limited communication capabilities of sensors, communication in WSNs deployed in large areas is multihop by nature. However for some special WSN applications (e.g firefighting and handicapped assistance) where the central Aggregating Node (AN) (mounted on the firefighter helmet or the handicapped stick) has low mobility, the monitored area of interest is temporarily limited to a small disk that is centered at the AN. Sensors that reside on that moving disk and the AN form a dynamic WSN where a single hop communication model is appropriate and beneficial. For such scenarios, we propose and evaluate a new protocol that provides an energy efficient workforce management for single and multihop WSNs. Analytical and simulation results demonstrate that the proposed approach significantly increases network lifetime by evenly consuming sensors energy. We also propose an algorithm to extend the single hop version of the protocol to a multihop environment.

Published in:

INFOCOM Workshops 2008, IEEE

Date of Conference:

13-18 April 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.