Data Fusion in Wireless Sensor Networks: A statistical signal processing perspective

By Robert Nash Parker, William Pridemore, Tony Grubesic

This essential reference describes the advanced tools required to design state-of-the-art inference algorithms for inference in wireless sensor networks. Written for the signal processing, communications, sensors and information fusion research communities, it is the first book of its kind to cover the emerging area of data fusion in wireless sensor networks. Topics include: sensing model uncertainty; reporting channel uncertainty; distributed inference over graphs; and cross-layer issues. A unique resource for professionals working in wireless sensor networks and related areas.

• Format: Hardcover
• Language: English
• ISBN: 178561584X
• ISBN13: 9781785615849
• Release Date: May 2019
• Publisher: Institution of Engineering & Technology
• Length: 352 Pages
• Weight: 1.50 lbs.
• Dimensions: 0.9" x 6.4" x 9.3"