Energy efficient clustering algorithm for maximizing lifetime of wireless sensor networks

AEU - International Journal of Electronics and Communications

Volumn 64, Issue 4, 2010, Pages 289-298

  Min, Xiang ^a,b   Wei ren, Shi ^a   Chang jiang, Jiang ^a   Ying, Zhang ^a  

^a CHONGQING UNIVERSITY   (China)

^b CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Clustering algorithm; Clustering angle; Lifetime; One hop distance; Wireless sensor networks

Indexed keywords

CLUSTER HEAD; CLUSTERING ANGLE; CLUSTERING MODEL; ENERGY CONSUMPTION; ENERGY EFFICIENT; HOP DISTANCE; INTRA-CLUSTER; LIFETIME; LOCAL CONTROL; OPTIMUM ONE-HOP DISTANCE; OPTIMUM PARAMETERS; OPTIMUM VALUE; SIMULATION RESULT; WORKING MECHANISMS;

ELECTRIC LOAD FORECASTING; OPTIMIZATION; SENSOR NETWORKS; SENSOR NODES; TELECOMMUNICATION EQUIPMENT; WIRELESS SENSOR NETWORKS;

CLUSTERING ALGORITHMS;

EID: 77249095405     PISSN: 14348411     EISSN: 16180399     Source Type: Journal    
DOI: 10.1016/j.aeue.2009.01.004     Document Type: Article

References (13)

1. Heinzelman WR, Chandrakasan A, Balakrishnan H. Energy efficient communication protocol for wireless microsensor networks. In: Proceedings of the Hawaii international conference on system sciences, vol. 1, Hawaii, USA, 2000. p. 3005-14.
2. Bandyopadhyay S, Coyle E. An energy efficient hierarchical clustering algorithm for wireless sensor networks. In: Proceedings of the 22nd annual joint conference of the IEEE computer and communications societies, vol. 3, San Francisco, USA, 2003. p. 1713-23.
3. Liu JS, Lin CH. Power efficiency clustering method with power limit constraint for sensor networks performance. In: Proceedings of the 2003 IEEE international performance, computing, and communications conference, vol. 9, Arizona, USA, 2003. p. 129-36.
4. Handy MJ, Haase M, Timmermann D. Low energy adaptive clustering hierarchy with deterministic cluster-head selection. In: Fourth IEEE conference on mobile and wireless communications networks, vol. 12, Stockholm, Sweden, 2002. p. 368-72.
5. Soro S, Heinzelman WB. Prolonging the lifetime of wireless sensor networks via unequal clustering. In: Proceedings of the 19th IEEE international parallel and distributed processing symposium, vol. 13, Colorado, USA, 2005. p. 236-43.
6. Xue Q, Ganz A. Maximizing sensor network lifetime: analysis and design guides. In: Proceedings of the 2004 military communications conference, vol. 2, Monterey, CA, 2004. p. 1144-50.
7. Shih E, Cho S, Ickes N, et al. Physical layer driven protocol and algorithm design for energy efficient wireless sensor networks. In: Proceedings of the 7th annual conference on mobile computing and networking, vol. 6, Pisa, Italy, 2001. p. 272-87.
8. Priscilla Chen BO, Callaway E. Energy efficient system design with optimum transmission range for wireless ad-hoc networks. In: Proceedings of the 2002 IEEE international conference on communications, vol. 2, New York, USA, 2002. p. 945-52.
9. Heinzelman W.B., Chandrakasan A.P., and Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications 1 4 (2002) 660-670
10. Guo B., and Li Z. United voting dynamic cluster routing algorithm based on residual-energy in wireless sensor networks. Journal of Electronics & Information Technology 29 12 (2007) 3006-3010
11. Yuan H.-y., Yang S.-q., Li X.-l., et al. Time-controlled routing algorithm for sensor networks. Journal of System Simulation 20 5 (2008) 1163-1166
12. Li C.-f., Cheng G.-h., Ye M., et al. An uneven cluster-based routing protocol for wireless sensor networks. Chinese Journal of Computers 30 8 (2007) 27-30
13. Shelby Z., Pomalaza-Raez C., and Karvonen H. Energy optimization in multi-hop wireless embedded and sensor networks. International Journal of Wireless Information Networks 12 1 (2005) 11-20