Proceeding of

NCAICN National Conference 2013



Advances in

Computing & Networking


A Special Issue of

International Journal of Computer Science and Applications



Hon. Shri Sundeepji Meghe

(Chairman, Vidarbha Youth Welfare Society, Amravati)



Dr. V.T. Ingole (FIE, FIETE, Professor Emeritus)


Organizing Committee


Dr. D.T. Ingole (FIE, FIETE)

(Principal PRMIT & R, Badnera and  Chairman IEI  Amravati Center).


 Er. A.W. Jawanjal

(Honorary Secretary IEI, Amravati Center)


Dr. G.R. Bamnote ((FIE, FIETE)

(H.O.D. Computer Science & Engineering)

Dr. A.S. Alvi (MIE)

(H.O.D. Information Technology))

Prof. Mrs. M.D. Ingole (FIE.MIETE)

(H.O.D. Electronics & Telecommunication)


Prof. S.V. Dhopte ((FIE, FIETE)

Prof. Ms. V.M. Deshmukh (FIE, FIETE)

Dr. S.W. Mohod  (FIE,FIETE)


Dr. S.R. Gupta (MIE, MIETE)

Prof. S.V. Pattalwar ((FIE, FIETE)

Prof. M.D. Damahe


Prof. Mrs. M.S. Joshi                

Dr. S.M. Deshmukh

Prof. V.U. Kale

Prof. S.S. Kulkarni

Prof. Ms. R.R. Tuteja

Prof. Ms. J.N. Ingole

Prof. V.R. Raut

Prof. C.N. Deshmukh

Prof. Ms. M.S. Deshmukh

Prof. S.P. Akarte

Prof. Mrs. A.P. Deshmukh

Prof. Mrs. S.S. Sikchi

Prof. N.N. Khalsa

Department of Information and Computer Science and Engineering

Prof. Ram Meghe Institute of Technology and Research, Badnera Distt. Amravati



Prof. K. H. Walse





IJCSA ISSN: 0974-1011 (Online) >>    

Hybrid Approach for Outlier Detection over Wireless Sensor Network Real Time Data

P. R. Chandore and Dr. P. N. Chatur


Outlier detection has gained considerable interest over real time data stream in data mining community with the realization that outliers can be the key discovery to be made from very large databases or data stream. Wireless sensor networks are one of active research area where massive amount of data measured or recorded. Those measurements that significantly deviate from the normal pattern of sensed data are considered as outlierís .The potential reasons of outliers include noise and errors, events, damage of device, and malicious attacks on the network.  Sensor data is real time data recorded continuously with specific requirement and limitations of wireless sensor network in such condition traditional outlier detection techniques are not directly applicable. This paper provides an extensive review of existing outlier detection techniques specifically deployed for the wireless sensor networks and proposed a hybrid approach for detecting outlier in wireless sensor network. We proposed the technique to detect outlier over sensor data using a cluster based approach and distance based approach which contribute a compressive work for finding the outliers in real time data within WNSís.

©2013 International Journal of Computer Science and Applications 

Published by Research Publications, India