Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 11
Page No. 1663 - 1669

Improving the Energy Level of Node and Prevent the Cluster Head Failure in Wireless Sensor Networks

Authors : T. Prabakaran and N.K. Karthikeyan

References

Anno, J., L. Barolli, A. Durresi, F. Xhafa and A. Koyama, 2008. Performance evaluation of two fuzzy-based cluster head selection systems for wireless sensor networks. Mobile Inform. Syst., 4: 297-312.
Direct Link  |  

Dakshayini, M., P. Kurer and H.S. Guruprasad, 2013. Energy aware dynamic clustering and hierarchical routing based on LEACH for WSN. Intl. J. Comput. Networking Wirel. Mobile Commun., 3: 79-86.
Direct Link  |  

Farazandeh, F., R. Abrishambaf, S. Uysal, T. Gomes and J. Cabral, 2013. A hybrid energy-efficient routing protocol for wireless sensor networks. Proceedings of the 2013 11th IEEE International Conference on Industrial Informatics (INDIN), July 29-31, 2013, IEEE, Bochum, Germany, pp: 18-23.

Gupte, A.M., S. Sarkar and A. Karthikeyan, 2013. Load balancing and optimization of network lifetime by use of double cluster head clustering algorithm and its comparison with various extended leach versions. Res. J. Appl. Sci., 8: 418-424.
Direct Link  |  

Loia, V., V. Terzija, A. Vaccaro and P. Wall, 2015. An affine-arithmetic-based consensus protocol for smart-grid computing in the presence of data uncertainties. Ind. Electron. IEEE. Trans., 62: 2973-2982.
CrossRef  |  Direct Link  |  

Maimour, M., H. Zeghilet and F. Lepage, 2010. Cluster-Based Routing Protocols for Energy-Efficiency. In: Sustainable Wireless Sensor Networks. Kheng, Y.T. (Ed.). In Tech. Industries, New York, USA., ISBN: 9789533072975, pp: 167-188.

Manni, R., M.K. Rai and L. Kansal, 2015. EDRINA: Enhanced data routing for In-network aggregation algorithm for WSNS. Asian J. Inf. Technol., 14: 276-280.
Direct Link  |  

Prabakaran, T. and N.K. Karthikeyan, 2013. SLCH-LEACH: Selective and location based cluster head-An improved energy efficient routing protocol for wireless sensor networks. European J. Sci. Res., 99: 408-417.
CrossRef  |  Direct Link  |  

Prabakaran, T.N.K. Karthikeyan, 2015. Adaptive clustering and routing using fuzzy decision model in WSN. Intl. J. Mob. Netw. Design Innovation, 6: 51-62.
CrossRef  |  Direct Link  |  

Ramanan, K. and E. Baburaj, 2015. Efficient energy utilization path algorithm in wireless sensor networks. Int. J. Cybern. Inf., 4: 53-63.
CrossRef  |  Direct Link  |  

Rezvani, M., A. Ignjatovic, E. Bertino and S. Jha, 2013. A robust iterative filtering technique for wireless sensor networks in the presence of malicious attacks. Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, November 11-15, 2013, ACM, Roma, Italy, ISBN: 978-1-4503-2027-6, pp: 30-30.

Scutari, G., S. Barbarossa and L. Pescosolido, 2008. Distributed decision through self-synchronizing sensor networks in the presence of propagation delays and asymmetric channels. Signal Process. IEEE. Trans., 56: 1667-1684.
CrossRef  |  Direct Link  |  

Shigei, N., H. Miyajima, H. Morishita and M. Maeda, 2009. Centralized and distributed clustering methods for energy efficient wireless sensor networks. Proceedings of the International Multi Conference of Engineers and Computer Scientists, March 18-20, 2009, International Association of Engineers, Hong Kong, China, ISBN: 978-988-17012-2-0, pp: 18-20.

Wenqing, C., L. Weimin, T. Yunmeng and Y. Zongkai, 2006. Research on the security in wireless sensor network. Asia J. Inform. Technol., 5: 339-345.
Direct Link  |  

Yang, S., S. Tan and J.X. Xu, 2013. Consensus based approach for economic dispatch problem in a smart grid. Power Syst. IEEE. Trans., 28: 4416-4426.
CrossRef  |  Direct Link  |  

Zaman, A., M. Amjad and K. Sakib, 2012. Two hop clustering scheme for pseudolinear mobile ad hoe network. Asian J. Inf. Technol., 11: 261-269.
Direct Link  |  

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