Real-Time
Implementation of Locality Sensitive Hashing Using NI WSN and LabVIEW for
Outlier Detection in Wireless Sensor Networks Department
of Electronics and Communication Engineering, B.S.Abdur
Rahman University Vandalur,
Chennai, Tamilnadu, India Abstract Outlier detection is one of the major challenges in
wireless sensor networks. To the best of our knowledge, not many have
evaluated the performance of outlier detection algorithms in real time. This
paper proposes a real time hardware implementation of outlier detection using
locality sensitive hashing algorithm for temperature data and evaluated both
in indoor and outdoor environments. NI WSN 3202 programmable nodes and NI
9792 programmable gateway is used for hardware implementation of the
algorithm and LabVIEWTM software is used for programming the
nodes. The LSH technique detects outliers based on the threshold value. Hence
the outlier detection accuracy and precision are analyzed for various
threshold values and the optimal threshold value is selected. Keywords: outlier, threshold, LSH, NI gateway
and nodes, LabVIEWTM, WSN +: Corresponding author: Subhashree V.K. Chennai,
Tamilnadu, India, Tel: +91-900-322-7746 Journal of Wireless Mobile
Networks, Ubiquitous Computing, and Dependable Applications (JoWUA) |