Sensor nodes in Wireless Sensor Networks having restricted power, weak computing capacity and reduced storage capacity. Therefore an proficient energy saving method is required to extend the duration of a network. LEACH is one of the popular algorithm, but it's some negatives such as for example each node may possibly not be established often in clusters, even though nodes have different power, CH is selected unreasonably and many other. These limitations are over come in I-LEACH algorithm by which sensor node with higher remaining power, more neighbors and lesser range from Base station is selected as a Cluster Head. I-LEACH algorithm more could be revised and thereby we could reduce the energy consumption of the network. Thus it's be great for prolonging the network lifetime. This research paper has dedicated to increasing the network lifetime by using the reactive I-LEACH protocol. The comparison among LEACH, I-LEACH and proposed method has also been performed based on power usage and network life time. Even in case of node scalability analysis the proposed technique shows rather effective results.

Leach, I-Leach, Cluster Head, Energy Efficiency, Reactivity

[1] Beiranvand, Z., Patooghy, A. and Fazeli M., “I-LEACH: An Efficient Routing Algorithm to Improve Performance & to Reduce Energy Consumption in Wireless Sensor Networks”, IEEE 5th International Conference on Information and Knowledge Technology, May 2013, pp. 13-18.
[2] Elbhiri, B., Fkihi, S. E., Saadane, A., Lasaad N., Jorio, A., Driss, Aboutajdine, E.R. and Morocco “A New Spectral Classification for Robust Clustering in Wireless Sensor Networks”, IEEE Conference on Wireless and Mobile Networking (WMNC), April 2013, pp. 1-10.
[3] Renold A.P., Poongothai R.and Parthasarathy R., “Performance Analysis of LEACH with Gray Hole Attack in Wireless Sensor Networks”, IEEE 2012 International Conference on Computer Communication an Informatics (ICCCI-2012) on IEEE, Jan 2012.
[4] Sen A., Gupta M.D., and De D., “Energy Efficient Layered Cluster Based Hierarchical Routing Protocol with Dual Sink”, IEEE 5th International Conference on Computer and Devices for Communication (CODEC), IEEE, May 2012.
[5] Kim D. S., Cha H. S. and Yoo S., “Improve Far-Zone LEACH Protocol for energy Conserving” MKE(Ministry of Knowledge Economy) support this research, under the Convergence- ITRC(Convergence Information Technology Research Center) support program supervised by NIPA(National IT Industry Promotion Agency) on IEEE 2012.
[6] Quynh T. N., Phung K. H. and Quoc H. V. “Improvement of Energy Consumption and Load Balance for LEACH in Wireless Sensors Networks” IEEE, ICTC, @012 IEEE, pp. 583-588.
[7] Xu J., Jin N., Lou X., Peng T., Zhou Q. and Chen Y. “Improvement of LEACH protocol for WSN” , IEEE 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012) on IEEE,2012, pp. 2174 – 2177.
[8] Sikander G., Zafar M. H., Babar M. I. K. and Rashid M. “Comparison of Clustering Routing Protocols for Wireless Sensor Networks”, Proc. Of the IEEE International Conference on Smart Instrumentation , Measurement and Applications (ICSIMA) on IEEE, November 2013
[9] Tripathi M., Battula R. B., Gaur M. S. and Laxmi V “Energy Efficient Clustered Routing for Wireless Sensor Network” 9th International Conference on Mobile Ad-hoc and Sensor Networks on IEEE, 2013, pp. 330-335
[10] Heinzelman W. R., Chandrakasan A. and Balakrishnan H “Energy- Efficient Communication Protocol for Wireless Micro sensor Networks” Proceedings of the 33rd International Conference on System Sciences, IEEE 2000, pp. 1-10
[11] Kodali R. K. and Sarma N “ Energy Efficient Routing Protocols for WSN’s” International Conference on Computer Communication and Informatics (ICCCI -2013), IEEE, Jan 2013
[12] Ahlawat A. and Malik V. “An EXTENDED VICE-CLUSTER SELECTION APPROACH TO IMPROVE V LEACH PROTOCOL IN WSN “, Third International Conference on Advanced Computing & Communication Technologies on IEEE, IEEE 2013, pp. 236 - 240.
[13] HOANG V-T, JULIEN N. And BERRUET P. “Cluster-Head Selection Algorithm to Enhance Energy-Efficiency and Reliability of Wireless Sensor Networks”, European Wireless 2014, pp. 933 – 938
[14] Ruperee A., Nema S. And Pawar S. “ Achieving Energy Efficiency and Increasing Network Life in Wireless Sensor Network”, IEEE International Advance Computing Conference (IACC), 2014 IEEE, pp. 171 – 175
[15] Yadav J., Dr. Dubey S.K. “ Analytical Study of Cluster Head Selection Schemes in Wireless Sensor Networks” International Conference on Signal Propagation and Computer Technology (ICSPCT), 2014 IEEE, pp. 81 – 85
[16] Wang Q., Kulla E., Mino G. And Barolli L. “ Prediction of Sensor Lifetime in Wireless Sensor Networks using Fuzzy Logic” 28th International Conference on Advanced Information Networking and Applications, 2014 IEEE, pp. 1127 – 1131
[17] Sharma T., Kumar B. Berry K., Dhawan A., Rathore R.S. and Gupta V. “Ant Based Cluster Head Election Algorithm in Wireless Sensor Network to avoid redundancy” Fourth International Conference on Communication Systems and Network Technologies, 2014 IEEE, pp. 83 – 88
[18] Kumar D. “ Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks” The institute of Engineering and technology 2014, IET Wireless Systems,2014, Vol. 4, pp. 9 - 16