Improved load balanced clustering algorithm for wireless sensor networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7135 LNCS, Issue , 2012, Pages 399-404

  Kuila, Pratyay ^a   Jana, Prasanta K ^a  

^a INDIAN SCHOOL OF MINES   (India)

Author keywords

approximation algorithm; clustering; load balancing; network lifetime; Wireless sensor networks

Indexed keywords

CLUSTERING; CLUSTERING SCHEME; LOAD-BALANCED; LOAD-BALANCING; NETWORK LIFETIME; WIRELESS SENSOR NETWORK (WSN);

APPROXIMATION ALGORITHMS; CLUSTERING ALGORITHMS; NETWORK MANAGEMENT;

SENSOR NODES;

EID: 84859621893     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29280-4_47     Document Type: Conference Paper

References (15)

1. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless Sensor Networks: A Survey. Computer Networks 38(4), 393-422 (2002)
2. Kim, K.T., et al.: An Energy Efficient Routing Protocol in Wireless Sensor Networks. In: Proc. of Int. Conf. on Comp. Sc. and Engg., pp. 132-139. IEEE (2009)
3. Lattanzi, E., et al.: Energetic sustainability of routing algorithms for energy-harvesting wireless sensor networks. Computer Comm. 30, 2976-2986 (2007)
4. Low, C.P., et al.: Efficient Load-Balanced Clustering Algorithms for wireless. Computer Communications 31, 750-759 (2008)
5. Abbasi, A.H., Younis, M.: A Survey on clustering algorithms for wireless sensor networks. Computer Communications 30, 2826-2841 (2007)
6. Boyinbode, O., et al.: A Survey on Clustering Algorithms for Wireless Sensor Networks. In: 13th Intl. Conf. on Network-Based Information Systems, pp. 358-364. IEEE (2010)
7. Jiang, C., Yuan, D., Zhao, Y.: Towards Clustering Algorithms in Wireless Sensor Networks-A Survey. In: Wireless Communications and Networking Conference (WCNC), pp. 1-6. IEEE (2009)
8. Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: Application specific protocol arch. IEEE Tran. on Wireless Comm.s. 1(4), 660-670 (2002)
9. Lindsey, S., Raghavendra, C.S.: PEGASIS: power efficient gathering in sensor information systems. In: Proc. of the IEEE Aerospace Conference, vol. 3, pp. 1125-1130 (2003)
10. Younis, O., Fahmy, S.: HEED: A Hybrid, Energy-Efficient, Distributed clustering approach for Ad Hoc sensor networks. IEEE Trans. 3, 366-379 (2004)
11. Manjeshwar, A., Agrawal, D.P.: TEEN: A routing protocol for enhanced efficiency in wireless sensor networks. In: Proc. of the 15th Intl. Workshop on Parallel and Distri. Comp. Issues in Wireless Networks and Mobile Computing, San Francisco, pp. 2009-2015 (2002)
12. Loscri, V., et al.: A Two-Level Hierarchy for Low-Energy Adaptive Clustering Hierarchy. In: Proc. of Vehicular Technology Conference, vol. 3, pp. 1809-1813. IEEE (2005)
13. Liu, Z., Zheng, Q., Xue, L., Guan, X.: A distributed energy-efficient clustering algorithm with improved coverage in wireless sensor networks. Future Generation Computer Systems, 1-11 (2011)
14. Min, X., Ren, S.W., Chang-jiang, J., Ying, Z.: Energy efficient clustering algorithm for maximizing lifetime of wireless sensor networks. Int. J. Electronics Communication. (AEÜ) 64, 289-298 (2010)
15. Dimokas, N., Katsaros, D., Manolopoulos, Y.: Energy-efficient distributed clustering in wireless sensor networks. J. Parallel Distributed Computing 70, 371-383 (2010)