A SURVEY ON ARCHITECTURAL BEHAVIOUR OF WSN RECONFIGURATION

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Published: Feb 23, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i1.5244
Keywords:
WSN, Reconfiguration, Zone, Dimensions, parameter Specific

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SANDEEP RATHEE
UIET MDU
SHAMSHER MALIK

Abstract

Reconfiguration is having the significance to generate effective data segments based on feature and dimension evaluation. In this paper, a study on the network reconfiguration is defined with architectural specification. The network reconfiguration challenges and issues were explored by the author. The process of reconfiguration is also explored in this paper.

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Vol. 9 No. 1 (2018): January-February 2018
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Articles

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Author Biography

SANDEEP RATHEE, UIET MDU

M.TECH student department of electronics and communication

References

V. T. N. Chau, "A Robust Self-Organizing Approach to Effectively Reconfiguration Incomplete Data," Knowledge and Systems Engineering (KSE), 2015 Seventh International Conference on, Ho Chi Minh City, 2015, pp. 150-155.

Yogita and D. Toshniwal, "Reconfiguration techniques for streaming data-a survey," Advance Computing Conference (IACC), 2013 IEEE 3rd International, Ghaziabad, 2013, pp. 951-956.

H. Venkateswara Reddy, P. Agrawal and S. Viswanadha Raju, "Data labeling method based on Zone purity using relative rough entropy for categorical data Reconfiguration," Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on, Mysore, 2013, pp. 500-506.

S. S. R. Abidi and J. Ong, "A data mining strategy for inductive data Reconfiguration: a synergy between self-organising neural networks and K-means Reconfiguration techniques," TENCON 2000. Proceedings, Kuala Lumpur, 2000, pp. 568-573 vol.2.

V. T. N. Chau, P. H. Loc and V. T. N. Tran, "A Robust Mean Shift-Based Approach to Effectively Reconfiguration Incomplete Educational Data," 2015 International Conference on Advanced Computing and Applications (ACOMP), Ho Chi Minh City, 2015, pp. 12-19.

Y. F. Wang, Z. G. Yu and V. Anh, "Fuzzy C-means method with empirical mode decomposition for Reconfiguration microarray data," Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on, Hong Kong, 2010, pp. 192-197.

Y. Yang and K. Chen, "Temporal Data Reconfiguration via Weighted Reconfiguration Ensemble with Different Representations," in IEEE Transactions on Knowledge and Data Engineering, vol. 23, no. 2, pp. 307-320, Feb. 2011.

S. Alam, G. Dobbie, Y. S. Koh and P. Riddle, "Reconfiguration heterogeneous web usage data using Hierarchical Particle Swarm Optimization," Swarm Intelligence (SIS), 2013 IEEE Symposium on, Singapore, 2013, pp. 147-154.

X. Liu, M. Yin, J. Luo and W. Chen, "An improved affinity propagation Reconfiguration algorithm for large-scale data sets," 2013 Ninth International Conference on Natural Computation (ICNC), Shenyang, 2013, pp. 894-899.

Y. Xie, A. Wulamu, Y. Wang and Z. Liu, "Implementation of time series data Reconfiguration based on SVD for stock data analysis on hadoop platform," 2014 9th IEEE Conference on Industrial Electronics and Applications, Hangzhou, 2014, pp. 2007-2010.

R. N. Dave and S. Sen, "Robust fuzzy Reconfiguration of relational data," in IEEE Transactions on Fuzzy Systems, vol. 10, no. 6, pp. 713-727, Dec 2002.

H. Prasetyo and A. Purwarianti, "Comparison of distance and dissimilarity measures for Reconfiguration data with mix attribute types," Information Technology, Computer and Electrical Engineering (ICITACEE), 2014 1st International Conference on, Semarang, 2014, pp. 276-280.

H. V. Reddy, B. S. Kumar and S. Viswanadharaju, "A Data Labeling Method for Categorical Data Reconfiguration Using Zone Entropies in Rough Sets," Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on, Bhopal, 2014, pp. 444-449.

K. Hua-Ai, "Method of Data Reconfiguration Incomplete Fill Based on Constraint Tolerance Set Dissimilarity," Intelligent Systems Design and Engineering Applications (ISDEA), 2014 Fifth International Conference on, Hunan, 2014, pp. 615-620.

C. F. Tsai and S. C. Huang, "An effective and efficient grid-based data Reconfiguration algorithm using intuitive neighbor relationship for data mining," Machine Learning and Cybernetics (ICMLC), 2015 International Conference on, Guangzhou, 2015, pp. 478-483.

Y. Wang, L. Chen and J. P. Mei, "Incremental Fuzzy Reconfiguration With Multiple Medoids for Large Data," in IEEE Transactions on Fuzzy Systems, vol. 22, no. 6, pp. 1557-1568, Dec. 2014.

Y. Peng, Q. Luo and X. Peng, "UCK-means :A customized K-means for Reconfiguration uncertain measurement data," Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on, Shanghai, 2011, pp. 1196-1200.