Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks

4.11 - 1251 ratings - Source

This book introduces resource-aware data fusion algorithms to gather and combine data from multiple sources (e.g., sensors) in order to achieve inferences. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems. The algorithms described in this book are evaluated with simulation and experimental results to show they will maintain data integrity and make data useful and informative. Describes techniques to overcome real problems posed by wireless sensor networks deployed in circumstances that might interfere with measurements provided, such as strong variations of pressure, temperature, radiation, and electromagnetic noise; Uses simulation and experimental results to evaluate algorithms presented and includes real test-bed; Includes case study implementing data fusion algorithms on a remote monitoring framework for sand production in oil pipelines.The proposed method is a method targeted for fixed-point multiplication by utilizing the redundancy of signed digit code. ... Matlab was used to compare the accuracy for the proposed method with the existing methods; we calculated theanbsp;...

Title:Resource-Aware Data Fusion Algorithms for Wireless Sensor Networks
Author: Ahmed Abdelgawad, Magdy Bayoumi
Publisher:Springer Science & Business Media - 2012-02-15

You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.

Once you have finished the sign-up process, you will be redirected to your download Book page.

How it works:
  • 1. Register a free 1 month Trial Account.
  • 2. Download as many books as you like (Personal use)
  • 3. Cancel the membership at any time if not satisfied.

Click button below to register and download Ebook
Privacy Policy | Contact | DMCA