Sensor faults: Detection methods and prevalence in real-world datasets
Various sensor network measurement studies have reported instances of transient faults in
sensor readings. In this work, we seek to answer a simple question: How often are such …
sensor readings. In this work, we seek to answer a simple question: How often are such …
Subspace energy monitoring for anomaly detection@ sensor or@ edge
The amount of data generated by distributed monitoring systems that can be exploited for
anomaly detection, along with real time, bandwidth, and scalability requirements leads to the …
anomaly detection, along with real time, bandwidth, and scalability requirements leads to the …
Suelo: human-assisted sensing for exploratory soil monitoring studies
N Ramanathan, T Schoellhammer, E Kohler… - Proceedings of the 7th …, 2009 - dl.acm.org
Soil contains vast ecosystems that play a key role in the Earth's water and nutrient cycles,
but scientists cannot currently collect the high-resolution data required to fully understand …
but scientists cannot currently collect the high-resolution data required to fully understand …
Mote-based online anomaly detection using echo state networks
Sensor networks deployed for scientific data acquisition must inspect measurements for
faults and events of interest. Doing so is crucial to ensure the relevance and correctness of …
faults and events of interest. Doing so is crucial to ensure the relevance and correctness of …
[HTML][HTML] A Bayesian framework for the automated online assessment of sensor data quality
Online automated quality assessment is critical to determine a sensor's fitness for purpose in
real-time applications. A Dynamic Bayesian Network (DBN) framework is proposed to …
real-time applications. A Dynamic Bayesian Network (DBN) framework is proposed to …
Meeting ecologists' requirements with adaptive data acquisition
Ecologists instrument ecosystems to collect time series representing the evolution in time
and space of relevant abiotic and biotic factors. Sensor networks promise to improve on …
and space of relevant abiotic and biotic factors. Sensor networks promise to improve on …
Data collection with in-network fault detection based on spatial correlation
Environmental sensing exposes sensor nodes to environmental stresses that can lead to
various kinds of sampling failure. Recognising such faults in the network can improve data …
various kinds of sampling failure. Recognising such faults in the network can improve data …
An error-free data collection method exploiting hierarchical physical models of wireless sensor networks
Various studies have shown that a substantial portion of the data gathered in real-world
sensing applications is faulty. Most existing fault-detection approaches are off-line …
sensing applications is faulty. Most existing fault-detection approaches are off-line …
Anomalies in sensor network deployments: analysis, modeling, and detection
GR Abuaitah - 2013 - rave.ohiolink.edu
A sensor network serves as a vital source for collecting raw sensory data. Sensor data are
later processed, analyzed, visualized, and reasoned over with the help of several decision …
later processed, analyzed, visualized, and reasoned over with the help of several decision …
Scientific data management at the Johns Hopkins institute for data intensive engineering and science
Scientific computing has long been one of the deep and challenging applications of
computer science and data management, from early endeavors in numerical simulation, to …
computer science and data management, from early endeavors in numerical simulation, to …