Detecting outliers has been a well studied problem in many applicable fields of research. Yet, wireless sensor networks present challenges because of their limited resources and unique need for real-time detection. Wireless sensor networks are deployed for a variety of reasons, and whether they are being used by the military, as weather sensors, or for another use, accuracy is always a necessity. With our research we examine the existing methods for outlier detection in wireless networks and propose new directions for future research. We not only will present a method to more confidently predict what data is an outlier, but to also find this information with as little delay as possible
A wireless sensor network (WSN) is defined as a set of spatially distributed and interconnected sens...
In the past few years, many wireless sensor networks had been deployed in the real world to collect ...
A wireless sensor network (WSN) is defined as a set of spatially distributed and interconnected sens...
Raw data collected in wireless sensor networks are often unreliable and inaccurate due to noise, fau...
In the field of wireless sensor networks, those measurements that significantly deviate from the nor...
In the field of wireless sensor networks, measurements that significantly deviate from the normal pa...
Abstract—In the field of wireless sensor networks, those measurements that significantly deviate fro...
International audienceOutliers in wireless sensor networks are measurements that deviate from the no...
The generation of wireless sensor networks (WSNs) makes human beings observe and reason about the ph...
To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an ...
Wireless sensor network (WSN) applications require efficient, accurate and timely data analysis in o...
Outliers or anomalies are generally considered to be those observations that are considerably diverg...
Wireless sensor networks had been deployed in the real world to collect large amounts of raw sensed ...
Data sets collected from wireless sensor networks (WSN) are usually considered unreliable and subjec...
is a demandable, efficient and emerging area of Computer Science Engineering which has been currentl...
A wireless sensor network (WSN) is defined as a set of spatially distributed and interconnected sens...
In the past few years, many wireless sensor networks had been deployed in the real world to collect ...
A wireless sensor network (WSN) is defined as a set of spatially distributed and interconnected sens...
Raw data collected in wireless sensor networks are often unreliable and inaccurate due to noise, fau...
In the field of wireless sensor networks, those measurements that significantly deviate from the nor...
In the field of wireless sensor networks, measurements that significantly deviate from the normal pa...
Abstract—In the field of wireless sensor networks, those measurements that significantly deviate fro...
International audienceOutliers in wireless sensor networks are measurements that deviate from the no...
The generation of wireless sensor networks (WSNs) makes human beings observe and reason about the ph...
To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an ...
Wireless sensor network (WSN) applications require efficient, accurate and timely data analysis in o...
Outliers or anomalies are generally considered to be those observations that are considerably diverg...
Wireless sensor networks had been deployed in the real world to collect large amounts of raw sensed ...
Data sets collected from wireless sensor networks (WSN) are usually considered unreliable and subjec...
is a demandable, efficient and emerging area of Computer Science Engineering which has been currentl...
A wireless sensor network (WSN) is defined as a set of spatially distributed and interconnected sens...
In the past few years, many wireless sensor networks had been deployed in the real world to collect ...
A wireless sensor network (WSN) is defined as a set of spatially distributed and interconnected sens...