Sensor Networks Faults Detection and Identification: Models and Software Development
Rastko R. Šelmić, Jake Scoggin, Stephen Oonk, Neil Vosburg, Francisco Maldonado · 2013
We describe recent developments in sensor network fault detection and identification as a part of a broad Intelligent Distributed and Ubiquitous Health Management System (IDUHMS) concept. Sensor network data faults are formulated and mathematical models are presented. Models for detection and identification of faults are developed for distributed systems with random spatial distribution of sensor nodes. We discuss various sensor network faults, their models and software for fault detection and fault information processing. We include simulations of multiple faults in a network of sensors, describe an experimental test bed, and provide experimental results that shows the effectiveness of the proposed method.