Achieving energy conservation by cluster based data aggregation in wireless sensor networks

Wireless Personal Communications

Volumn 73, Issue 3, 2013, Pages 731-751

  SivaRanjani S ^a   Radha Krishnan, S ^a   Thangaraj, C ^b   VimalaDevi K ^c  

^a KALASALINGAM UNIVERSITY   (India)

^b ANNA UNIVERSITY   (India)

^c P S R ENGINEERING COLLEGE   (India)

Author keywords

Aggregation; Cluster; Energy efficiency; Layer; Wireless sensor networks

Indexed keywords

AGGLOMERATION; ENERGY EFFICIENCY; ENERGY UTILIZATION; RHENIUM COMPOUNDS; SENSOR NODES; WIRELESS SENSOR NETWORKS;

CLUSTER; COMMUNICATION OVERHEADS; DIRECT COMMUNICATIONS; ENERGY REQUIREMENTS; HIGHLY-CORRELATED; LAYER; MESSAGE TRANSMISSIONS; PACKET TRANSMISSIONS;

DATA REDUCTION;

EID: 84890546567     PISSN: 09296212     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11277-013-1213-x     Document Type: Article

References (25)

1. Dressler, F. (2007). Self-organization in sensor and actor, networks (pp. 185-202). New York: Wiley.
2. Rajagopalan, R.; Pramod, K. V. (2006). Data aggregation techniques in sensor networks: A survey. IEEE Communications Surveys and Tutorials, 8(4), 48-63.
3. Abbasi, A. A.; Younis, M. (2007). A survey on clustering algorithms for wireless sensor networks. Computer Communications, 30(14-15), 2826-2841.
4. Tarng, W.; Ou, K. L.; Huang, K. J.; Deng, L. Z.; Lin, H. W. (2011). Applying cluster merging and dynamic routing mechanisms to extend the lifetime of wireless sensor networks. International Journal of Communication Networks and Information Security (IJCNIS), 3(1), 8-16.
5. Hussaini, M.; Bello-Salau, H.; Salami, A. F.; Anwar, F.; Abdalla, A. H.; Islam, M. R. (2012). Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network. International Journal of Communication Networks and Information Security (IJCNIS), 4(1), 18-28.
6. Karl, H.; Willig, A. (2007). Protocols and architectures for wireless sensor networks. New York: Wiley.
7. Bajaber, F.; Awan, I. (2008). Dynamic/static clustering protocol for wireless sensor network. Second UKSIM European symposium on computer modeling and simulation (pp. 524-529)
8. Heinzelman, W.; Chandrakasan, A.; Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor, networks. In Proceedings of the 33rd international conference on system sciences (HICSS'00) (pp 1-10).
9. Heinzelman, W.; Chandrakasan, A.; Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660-669.
10. Yoon, S.; Shahabi, C. (2007). The clustered AGgregation (CAG) technique leveraging spatial and temporal correlations in wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 3(1), Article 3.
11. Chang, R.-S.; Kuo, C.-J. (2006). An energy efficient routing mechanism for wireless sensor networks. In 20th international conference on advanced information networking and applications (Vol. 2 (AINA'06), pp. 308-312).
12. Sivrikaya, F.; Yener, B. (2004). Time synchronization in sensor networks: A survey. IEEE Network, 18(4), 45-50.
13. Wu, Y.-C.; Chaudhari, Q. M.; Serpedin, E. (2011). Clock synchronization of wireless sensor networks. IEEE Signal Processing Magazine, 28(1), 124-138.
14. Kim, H.; Kim, D.; Yoo, S. (2006). Cluster-based hierarchical time synchronization for multi-hop wireless sensor networks. In 20th international conference on advanced information networking and applications (Vol. 2, pp. 318-322).
15. Jabbarifar, M.; Sendi, A. S.; Pedram, H.; Dehghan, M.; Dagenais, M. R. (2010). L-SYNC: Larger degree clustering based time-synchronisation for wireless sensor network. SERA, 2010, 171-178.
16. Jabbarifar, M.; Sendi, A. S.; Sadighian, A.; Jivan, N. E.; Dagenais, M. (2010). A reliable and efficient time synchronization protocol for heterogeneous wireless sensor network. Wireless sensor networks, 2(12), 910-918.
17. Hua, M.; Ki Lau, J.; Pei, K. Wu. (2009). Continuous K-means monitoring with low reporting cost in sensor networks. IEEE Transactions on Knowledge and Data Engineering, 21(12), 1679-1691.
18. Hui Li, X.; Ling Fang, K. (2009). A clustering algorithm based on K-means for wireless indoor monitoring system. International Conference on Information Technology and Computer Science, 1, 488-492.
19. Datta, S.; Giannella, C. R.; Kargupta, H. (2009). Approximate distributed K-means clustering over a peer-to-peer network. IEEE Transactions on Knowledge and Data Engineering, 21(10), 1372-1388.
20. Patel, R. B.; Aseri, T. C.; Kumar, D. (2009). EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks. International Journal of Computer Communications, Elsevier, 32(4), 662-667.
21. Younis, O.; Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4), 366-379.
22. Ishmanov, F.; Kim, S. W. (2009). Distributed clustering algorithm with load balancing in wireless sensor networks. WRI World Congress on Computer Science and Information Engineering, CSIE 2009 (Vol. 1, pp. 19-23).
23. Min, X.; Wei-ren, S.; Chang-jiang, J.; Ying, Z. (2010). Energy efficient clustering algorithm for maximizing lifetime of wireless sensor networks. AEU-International Journal of Electronics and Communications, 64(4), 289-298.
24. Cormen, T. H.; Leiserson, C. E.; Rivest, R. L.; Stein, C. Introduction to algorithms (2nd ed. pp. 658-664). The MIT Press: Cambridge.
25. Alrajeh, N. A.; Khan, S.; Lloret, J.; Loo, J. (2013). Secure routing protocol using cross-layer design and energy harvesting in wireless sensor networks. International Journal of Distributed Sensor Networks, 2013, 11 pp. Article ID 374796.