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Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks
by
Gaurang Raval,
Madhuri Bhavsar
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 113 - Number 19 |
| Year of Publication: 2015 |
| Authors: Gaurang Raval, Madhuri Bhavsar |
10.5120/19938-2104
|
Gaurang Raval, Madhuri Bhavsar . Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks. International Journal of Computer Applications. 113, 19 ( March 2015), 41-47. DOI=10.5120/19938-2104
@article{
10.5120/19938-2104,
author = {
Gaurang Raval,
Madhuri Bhavsar
},
title = { Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks },
journal = {
International Journal of Computer Applications
},
issue_date = { March 2015 },
volume = { 113 },
number = { 19 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = {
41-47
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume113/number19/19938-2104/
},
doi = { 10.5120/19938-2104 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:24.549162+05:30
%A Gaurang Raval
%A Madhuri Bhavsar
%T Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 19
%P 41-47
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper an energy usage estimation technique (LCEFCM) has been proposed which employs the Fuzzy C-Means clustering for creating clusters in the Wireless Sensor Networks. LCEFCM reduces the energy consumption considerably compared to other clustering methods like simulated annealing and K-Means clustering. It applies the dynamic clustering mechanism combined with balanced clustering method. LCEFCM outperforms LEACHC, LEACHC Estimate(LCE) and LCEKMeans for various performance measuring factors like network lifetime, data received, alive nodes etc.
References
- D. Minoli K. Sohraby and T. Znati. Wireless Sensor Networks - Technology, Protocols, and Applications. John Wiley and Sons, 2007.
- Charles E. Perkins. Ad Hoc Networking. Addison-Wesley Professional, 1 edition, 2008. ISBN 0321579070, 9780321579072.
- K. Akkaya and M. Younis. A survey on routing protocols for wireless sensor networks. International Journal on Ad Hoc Networks, 3(3):325–349, 2005.
- Jamal N. Al-karaki and Ahmed E. Kamal. Routing techniques in wireless sensor networks: A survey. IEEE Wireless Communications, 11:6–28, 2004.
- Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan. Energy-efficient communication protocolfor wireless microsensor networks. In System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on, pages 10–pp. IEEE, 2000.
- Wendi B Heinzelman, Anantha P Chandrakasan, and Hari Balakrishnan. An application-specific protocol architecture for wireless microsensor networks. Wireless Communications, IEEE Transactions on, 1(4):660–670, 2002.
- P Sasikumar and Sibaram Khara. K-means clustering in wireless sensor networks. In Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on, pages 140–144. IEEE, 2012.
- Liansheng Tan, Yanlin Gong, and Gong Chen. A balanced parallel clustering protocol for wireless sensor networks using k-means techniques. In Sensor Technologies and Applications, 2008. SENSORCOMM'08. Second International Conference on, pages 300–305. IEEE, 2008.
- Ajay Singh Raghuvanshi, Sudarshan Tiwari, Rajeev Tripathi, and Nand Kishor. Optimal number of clusters in wireless sensor networks: a fcm approach. IJSNet, 12(1):16–24, 2012. doi: http://dx. doi. org/10. 1504/IJSNET. 2012. 047707.
- DC Hoang, R Kumar, and SK Panda. Fuzzy c-means clustering protocol for wireless sensor networks. In Industrial Electronics (ISIE), 2010 IEEE International Symposium on, pages 3477–3482. IEEE, 2010.
- Adam Dunkels, Fredrik Osterlind, Nicolas Tsiftes, and Zhitao He. Software-based on-line energy estimation for sensor nodes. In Proceedings of the 4th workshop on Embedded networked sensors, pages 28–32. ACM, 2007.
- Ossama Younis and Sonia Fahmy. An experimental study of routing and data aggregation in sensor networks. In Mobile Adhoc and Sensor Systems Conference, 2005. IEEE International Conference on, pages 8–pp. IEEE, 2005.
- Yonggang Jerry Zhao, Ramesh Govindan, and Deborah Estrin. Residual energy scan for monitoring sensor networks. In Wireless Communications and Networking Conference, 2002. WCNC2002. 2002 IEEE, volume 1, pages 356–362. IEEE, 2002.
- Malka N Halgamuge, Siddeswara Mayura Guru, and Andrew Jennings. Energy efficient cluster formation in wireless sensor networks. In Telecommunications, 2003. ICT 2003. 10th International Conference on, volume 2, pages 1571–1576. IEEE, 2003.
- Malka N Halgamuge, Moshe Zukerman, Kotagiri Ramamohanarao, and Hai Le Vu. An estimation of sensor energy consumption. Progress In Electromagnetics Research B, 12:259–295, 2009. doi: 10. 2528/PIERB08122303.
- Haibo Zhou, YuanmingWu, Yanqi Hu, and Guangzhong Xie. A novel stable selection and reliable transmission protocol for clustered heterogeneous wireless sensor networks. Computer Communications, 33(15):1843–1849, 2010.
- SH Manjula, EB Reddy, K Shaila, L Nalini, KR Venugopal, and LM Patnaik. Base-station controlled clustering scheme in wireless sensor networks. In Wireless Days, 2008. WD'08. 1st IFIP, pages 1–5. IEEE, 2008.
- Jin-Mook Kim, Hyeon-Kyu Joo, Seong-Sik Hong,Woo-Hyun Ahn, and Hwang-Bin Ryou. An efficient clustering scheme through estimate in centralized hierarchical routing protocol. In Hybrid Information Technology, 2006. ICHIT'06. International Conference on, volume 2, pages 145–152. IEEE, 2006.
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Computer Science
Information Sciences
Keywords