With the wide application of Wireless Sensor Network Technology, a large volume of data is generated. For extracting knowledgeful, understandable and valid patterns from this data, data mining techniques are used. This Wireless Sensor Network Data Mining may use Centralized Mining Approach or Distributed Mining approach. Distributed mining, mining is applied on sensor nodes. After that mined data are sent to sink node. But, in centralized approach whole data from sensor nodes are collected at sink node then mining is applied on dataset. This paper focuses on Centralized Data Mining Approach to mine dataset. Here, Classification Techniques, SVM (support Vector Machine) and KNN (K-Nearest Neighbour), are applied on this collected dataset with taking concentration on optimization of CPU cycle as compressible resource. For this execution time to classify data is used here. For this real dataset, it is resulting that KNN is giving better performace than SVM. The dataset is gathered from a real time data acquisition system based on wireless sensor network that is implemented using XBee Digi modules and open source hardware platform Arduino. It is trying to make a hybrid framework, combination of Distributed Approach and Centralized Approach, for this real time deployment of WSN as a future work.

Wireless Sensor Network Data Mining, Centralized Mining Approach, SVM, KNN, Resource Optimization

[1] S. H. Chauhdary, A. K. Bashir, S. C. Shah, M. S. Park, “EOATR: energy efficient object tracking by auto adjusting transmission range in wireless sensor network”, Journal of Applied Sciences, vol. 9, Issue. 24, pp. 4247–4252, 2009.
[2] P. K. Biswas, S. Phoha, “Self-organizing sensor networks for integrated target surveillance”, IEEE Transactions on Computers,vol. 55, Issue No. 8, pp. 1033–1047, 2006.
[3] J. Yick, B.Mukherjee, D. Ghosal, “Wireless sensor network
survey”, ComputerNetworks, vol. 52,no. 12,pp. 2292–2330, 2008.
[4] T. Arampatzis, J. Lygeros, S. Manesis, “A survey of applications of wireless sensors and wireless sensor networks”, in Proceedings of the 20th IEEE International Symposium on Intelligent Control (ISIC ’05), pp. 719–724, June 2005.
[5] A. Rozyyev, H. Hasbullah, F. Subhan,“Indoor child tracking in wireless sensor network using fuzzy logic technique”, Research Journal of Information Technology, vol. 3, Issue. 2, pp. 81– 92, 2011.
[6] R. Szewczyk, E. Osterweil, J. Polastre, M. Hamilton, A. Mainwaring, D. Estrin, “Habitat monitoring with sensor networks”, Communications of the ACM, vol. 47, no. 6, pp. 34–40, 2004.
[7] L. T. Lee, C. W. Chen, “Synchronizing sensor networks with pulse coupled and cluster based approaches”, Information Technology Journal, vol. 7, Issue 5, pp. 737–745, 2008.
[8] N. Sabri, S. A. Aljunid, B. Ahmad, A. Yahya, R. Kamaruddin, andM. S. Salim, “Wireless sensor actor network based on fuzzy inference system for greenhouse climate control”, Journal of Applied Sciences, vol. 11, Issue. 17, pp.3104–3116, 2011.
[9] D. Kumar, “Monitoring forest cover changes using remote sensing and GIS: a global prospective”, Research Journal of Environmental Sciences, vol. 5, pp. 105–123, 2011.
[10] Y. C. Tseng, M. S. Pan, and Y.Y. Tsai,“Wireless sensor networks for emergency navigation”, Computer, vol. 39, no. 7, pp. 55–62, 2006.
[11] J. Han, M. Kamber, J. Pei,“Data Mining Concepts and Techniques”, Morgan Kaufmann Publishers, USA, pp. 8, 2012.
[12] A. Mahmood, K. Shi, S. Khatoon, Mi Xiao, “Data Mining Techniques for Wireless Sensor Networks: A Survey”, International Journal of Distributed Sensor Networks, Vol. 2013, 2013
[13] R. Sunny T, S. M. Thampi, “Survey on Distributed Data mining in P2P Networks”, dblp computer science bibliography, 2012
[14] P. Singh, “Sensor Association Rules: a Survey”, Vol. 9, Issue 9, pp. 67-71, 2014
[15] A. Boukerche, S. Samarah, “A New Representation Structure for Mining Association Rules from Wireless Sensor Networks”, PARADISE University of Ottawa, 2007
[16] A. Mahmood, K. Shi, S Khatoon, “Mining Data Generated by Sensor Networks: A Survey”, Information Technology Journal, Vol. 11, 2012
[17] A. K. Naik, R. Kumar Dwivedi, “A Review On Use Of Data Mining Methods In Wireless Sensor Network”, International Journal Of Current Engineering And Scientific Research (IJCESR), Vol. 3, Issue. 12, 2016
[18] C. Sudha, A. Nagesh, “A Comprehensive Survey on Data Mining Techniques in Wireless Sensor Networks”, International Journal of Computer Sciences and Engineering (IJCSE), Vol. 6, Issue. 6, pp. 1523-1527, 2018.
[19] M. Maksimović, V. Vujović, “Comparative Analysis Of Data Mining Techniques Applied To Wireless Sensor Network Data For Fire Detection”, Journal of Information Technology and Applications, pp. 65-77, 2013
[19] B.-H. Park, H. Kargupta, “Distributed data mining: Algorithms, systems, and applications” Data Mining Handbook, 2002.
[20] S. Sardellitti G. Scutari S. Barbarossa "Joint optimization of radio and computational resources for multicell mobile-edge computing", IEEE Transactions On Signal And Information Processing Over Networks, Vol. 1, no. 2, pp. 89-103, 2015.
[21] B. A. Parbat, R. K. Dhuware, “Real Time Data Acquisition System for WSN Using Arduino for Polyhouse”, International Journal of Computer Sciences and Engineering(IJCSE), Vol. 6, Issue. 8, pp. 608-612, 2018.
[22] L. He, Z. Qiang, W. Zhou, S. o,“A Review of Resource Scheduling in Large-Scale Server Cluster”, International Conference on Knowledge Management in Organizations, pp. 494-505, 2016, ISBN 978-3-319-62698-7.