An energy-driven unequal clustering protocol for heterogeneous wireless sensor networks

被引：77

作者：

Yu J. ^{[1
]}

Qi Y. ^{[1
]}

Wang G. ^{[2
]}

机构：

[1] School of Computer Science, Qufu Normal University

[2] School of Mathematics, Shandong University

来源：

Journal of Control Theory and Applications | 2011年 / 9卷 / 1期

基金：

中国国家自然科学基金;

关键词：

Cluster head rotation; Energy-driven; Unequal clustering; Wireless sensor network;

D O I：

10.1007/s11768-011-0232-y

中图分类号：

学科分类号：

摘要：

Due to the limitation of energy resources, energy efficiency is a key issue in wireless sensor networks (WSNs). Clustering is proved to be an important way to realize hierarchical topology control, which can improve the scalability and prolong the lifetime of wireless sensor networks. In this paper, an energy-driven unequal clustering protocol (EDUC) for heterogeneous wireless sensor networks is proposed. EDUC includes an unequal clustering algorithm and an energy-driven adaptive cluster head rotation method. The unequal size of clusters can balance the energy consumption among clusters, and the energy-driven cluster head rotation method can achieve the balance of energy consumption among nodes within a cluster, which reduces the waste of energy. Simulation experiments show that EDUC balances the energy consumption well among the cluster heads and prolongs the network lifetime. © 2011 South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.

引用

页码：133 / 139

页数：6

共 15 条

[1]

Heinzelman W.R., Chandrakasan A., Balakrishnan H., Energyefficient communication protocol for wireless microsensor networks[C], Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, pp. 1-10, (2000)

[2]

Younis O., Fahmy S., HEED: A hybrid, energy-efficient, distributed clustering approach for Ad hoc sensor networks[J], IEEE Transactions on Mobile Computing, 3, 4, pp. 366-379, (2004)

[3]

Liu M., Cao J., Chen G., Et al., EADEEG: An energy-aware data gathering protocol for wireless sensor networks[J], Journal of Software, 18, 5, pp. 1092-1109, (2007)

[4]

Li C., Ye M., Chen G., Et al., An energy-efficient unequal clustering mechanism for wireless sensor networks[C], Proceedings of the IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, pp. 597-604, (2005)

[5]

Zhou X., Wu M., Xu J., BPEC: An energy-aware distributed clustering algorithm in WSNs[J], Journal of Computer Research and Development, 46, 5, pp. 723-730, (2009)

[6]

Wang Y., Zhao Q., Zheng D., Energy-driven adaptive clustering data collection protocol in wireless sensor networks[C], Proceedings of the International Conference on Intelligent Mechatronics and Automation, pp. 599-604, (2004)

[7]

Gamwarige S., Kulasekere E., An algorithm for energy driven cluster head rotation in a distributed wireless sensor network[C], Proceedings of the International Conference on Information and Automation, pp. 354-359, (2005)

[8]

Wu Y., Chen Z., Jing Q., Et al., LENO: LEast rotation nearoptimal cluster head rotation strategy in wireless sensor networks[C], Proceedings of the 21st International Conference on Advanced Networking and Applications, pp. 195-201, (2007)

[9]

Huang H., Shen J., An energy-driven adaptive cluster head rotation alforithm for wireless sensor networks[J], Journal of Electronics & Information Technology, 31, 5, pp. 1040-1044, (2009)

[10]

Perillo M., Zhao C., Heinzelman W.R., An analysis of strategies for mitigating the sensor network hot spot problem[C], Proceedings of Thd 2nd Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, pp. 474-478, (2005)

← 1 2 →