A centralized balance clustering routing protocol for wireless sensor network

Wireless Personal Communications

Volumn 72, Issue 1, 2013, Pages 623-634

  Chen, Jian ^a   Li, Zhen ^a   Kuo, Yong Hong ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Balance clustering; Hexagonal; Random distribution; Routing protocol; Wireless sensor networks

Indexed keywords

CLUSTERING ALGORITHMS; ENERGY UTILIZATION; NETWORK ROUTING; POWER MANAGEMENT (TELECOMMUNICATION); ROUTING PROTOCOLS; SENSOR NODES; WIRELESS SENSOR NETWORKS;

CLUSTER NUMBERS; CLUSTERING RESULTS; CLUSTERING ROUTING PROTOCOL; HEXAGONAL; NETWORK THROUGHPUT; NON-UNIFORM DISTRIBUTION; RANDOM DISTRIBUTION; WIRELESS SENSOR NETWORK (WSNS);

INTERNET PROTOCOLS;

EID: 84893694652     PISSN: 09296212     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11277-013-1033-z     Document Type: Article

References (15)

1. Akyildiz, I., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, 40(8), 102-114.
2. Akkaya, K., & Younis, M. (2005). A survey on routing protocols for wireless sensor networks. Ad Hoc Network, 3(3), 325-349. (Pubitemid 40266054)
3. Heinzelman, W., Chandrakasan, A., &Balakrishnan, H. (2000). Energy-efficient communication protocol for wirelessmicrosensor networks. In Proceedings of the 33rd Hawaii international conference on system sciences (pp. 3005-3014). Maui.
4. Li, X. F., Xu, L. Z., & Wang, H. B. (2010). A differential evolution-based routing algorithm for environmental monitoring wireless sensor networks. Sensors, 10(6), 5425-5442.
5. He, S. J., Dai, Y. Y., Zhou, R. Y., & Zhao, S. T. (2012). A Clustering Routing Protocol for Energy Balance of WSN based on Genetic Clustering Algorithm. IERI Procedia, 2, 788-793.
6. Yu, J., Qi, Y. Y., Wang, G. H., & Gu, X. (2012). A cluster-based routing protocol for wireless sensor networks with nonuniform node distribution. International Journal of Electronics and Communications (AEÜ), 66(1), 54-61.
7. Heinzelman, W. B., Chandrakasan, A., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660-670. (Pubitemid 44934253)
8. Khalil, E. A., & Attea, B. A. (2011). Energy-aware evolutionary routing protocol for dynamic clustering of wireless sensor networks. Swarmand Evolutionary Computation, 1(4), 195-203.
9. Xiang, M., Shi, W. R., Jiang, C. J., & Zhang, Y. (2010). Energy efficient clustering algorithm for maximizing lifetime of wireless sensor networks. International Journal of Electronics and Communications (AEÜ), 64(4), 289-298.
10. Ferng, H. W., Tendean, R., & Kurniawan, A. (2012). Energy-efficient routing protocol for wireless sensor networks with static clustering and dynamic structure. Wireless Personal Communications, 65(2), 347-367.
11. Xu, Y., Heidemann, J., & Estrin, D. (2001). Geography-informed Energy Conservation for Ad Hoc Routing. In Proceedings of the Seventh Annual ACM/IEEE International Conference on Mobile Computing and Networking (pp. 70-84). Rome. (Pubitemid 33006705)
12. Salzmann, J., Behnke, R., & Timmermann, D. (2010). Tessellating Cell Shapes for Geographical Clustering. In 2010 10th IEEE International Conference on Computer and Information Technology (pp. 2891-2896). Bradford.
13. Guan, X., Wang, Y. X., & Liu, F. (2008). An energy-efficient clustering technique for wireless sensor networks. In International Conference on Networking, Architecture, and Storage (pp. 248-252). Chongqing.
14. Lai, W. K., Fan, C. S., & Lin, L. Y. (2012). Arranging cluster sizes and transmission ranges for wireless sensor networks. Information Sciences, 183(1), 117-131.
15. Long H., Liu Y., Fan X., Dick R. P., & Yang H. (2009). Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks. In Design, Automation Test in Europe Conference Exhibition (pp. 1267-1272). Leuven.