Hierarchical Agglomerative Clustering Schemes for Energy-Efficiency in Wireless Sensor Networks

1. 10 Emerging Technologies That Will Change. The World. Technology review February 2003.Search in Google Scholar

2. Chen, H., Wu, C. S., Chu, Y. S., Cheng, C. C. and Tsai, L. K. (2007) Energy Residue Aware (ERA) Clustering Algorithm for Leach-Based Wireless Sensor Networks. In: Proceedings of the Second International Conference on Systems and Networks Communications (ICSNC 2007), August 25-31, 2007, Cap Esterel, French Riviera, France, page 40, 2007.10.1109/ICSNC.2007.34Search in Google Scholar

3. Dong, Z. and Chun, C. (2012) Hybrid Communication Method for Data Gathering in Wireless Sensor Networks. In: Proceedings of Springer International Conference on Information Technology and Management Science (ICITMS 2012).Search in Google Scholar

4. Du, T., Qu, S., Liu, F. and Wang, Q. (2015) An Energy Efficiency Semi-Static Routing Algorithm for {WSNs} Based on {HAC} Clustering Method. Information Fusion, 21:18 - 29, 2015.10.1016/j.inffus.2013.05.001Search in Google Scholar

5. Heinzelman, W. B., Chandrakasan, A. P., and Balakrishnan, H. (2002) An Application-Specific Protocol Architecture for Wireless Microsensor Networks. Trans. Wireless. Comm., 1(4):660-670, October 2002.10.1109/TWC.2002.804190Search in Google Scholar

6. Kou, L., Markowsky, G. and Berman, L. (1981) A Fast Algorithm for Steiner Trees. Acta Informatica, 15(2):141-145, 1981.10.1007/BF00288961Search in Google Scholar

7. Lukasová, A. (1979) Hierarchical Agglomerative Clustering Procedure. Pattern Recognition, 11(5-6):365-381, 1979.10.1016/0031-3203(79)90049-9Search in Google Scholar

8. Lung, C. H and Zhou, C. (2010). Using Hierarchical Agglomerative Clustering in Wireless Sensor Networks: An Energy-Efficient and Flexible Approach. Ad Hoc Networks, 8(3):328-344, 2010.Search in Google Scholar

9. Manjeshwar, A. and Agrawal, D. P. (2001) TEEN: Arouting Protocol for Enhanced Efficiency in Wireless Sensor Networks. In: Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), San Francisco, CA, April 23-27, 2001, page 189, 2001.Search in Google Scholar

10. Park, G.Y., Kim, H., Jeong, H. W., and Youn, H. Y. (2013) A Novel Cluster Head Selection Method Based on K-Means Algorithm for Energy Efficient Wireless Sensor Network. In: Proceedings of the 2013 27th International Conference on Advanced Information Networking and Applications Workshops, (WAINA ’13), pages 910-915, Washington, DC, USA, 2013. IEEE Computer Society.Search in Google Scholar

11. Robins, G. and Zelikovsky, A. (2005) Tighter Bounds for Graph Steiner Tree Approximation. SIAM J. Discrete Math., 19(1):122-134, 2005.10.1137/S0895480101393155Search in Google Scholar

12. WeiWang, G., Zhang, C. X. and Zhuang, J. (2014) Clustering with Prim’s Sequential Representation of Minimum Spanning Tree. Applied Mathematics and Computation, 247:521-534, 2014.10.1016/j.amc.2014.09.026Search in Google Scholar

13. Youn H. Y. and Kim, K. T. (2005) PEACH: Proxy-Enable Adaptive Clustering Hierarchy for Wireless Sensor Networks. In: Proceedings of the 2005 International Conference on Wireless Networks, (ICWN 2005), Las Vegas, Nevada, USA, June 27-30, 2005, pages 52-56, 2005.Search in Google Scholar

14. Younis, O. and Fahmy, S. (2004) HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks. IEEE Trans. Mob. Comput., 3(4):366- 379, 2004.Search in Google Scholar