By Topic

Energy Efficiency of Universal Decentralized Estimation in Random 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)
Moslem Noori ; Department of Electrical and Computer Engineering, University of Alberta, Canada ; Masoud Ardakani

Universal decentralized estimation (UDES) is one of the most well-known decentralized estimation techniques proposed for wireless sensor networks (WSNs). UDES and other decentralized estimation algorithms are proposed in view of the limited available energy at the sensors. In this work, we study energy efficiency of UDES for randomly deployed WSNs via finding the distribution and expected value of the number of bits that a sensor sends to the fusion center. Then, we find the probability of achieving a desired lifetime by the sensor. Our analytical results are verified through computer simulation.

Published in:

IEEE Transactions on Wireless Communications  (Volume:10 ,  Issue: 12 )