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Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 4, Pages 15-19, DOI: https://doi.org/10.1109/iccnea.2017.74
License : (CC BY-NC-ND 4.0)
Published Online: 23-April-2018
A multi-cluster-head based clustering routing algorithm is researched and realized in order to achieve better balance the energy consumption of wireless sensor network nodes as well as promote the stability and extend the service life of the network. By taking cluster as the basic unit, it divides the wireless sensor network into multiple clusters, each of which includes a main cluster head node, an assistant cluster head node, a cluster management node and several ordinary nodes. The article elaborates the energy consumption model of the wireless sensor network, the network topological structure of the multi-cluster-head based clustering routing algorithm and the method for realization. In addition, it conducts simulation and analysis on the multi-cluster-head based clustering routing algorithm. According to the results, the algorithm can achieve preferable balance on energy consumption of various nodes in the wireless sensor network, which effectively extends the service life and improves the stability of the wireless sensor network. It has good application prospects.
Y. Xu, L.J. Chen and L.X. Gan, “Principles and Applications of Wireless Sensor Network,” Beijing, Tsinghua University Press, 2015, pp. 23-36.
M.N. Yang, D. Yang and C. Huang, “An Improved HEED Clustering Algorithm for Wireless Sensor Network,”Journal of Chongqing University, vol. 35, Aug. 2012, pp. 101-106.
X.L. Lu, Y.Y. Wang, H.B. Wang and B.G. Xu, “Energy-balanced Unequal Clustering Algorithm in Wireless Sensor Network, ” Computer Science, vol. 40, May. 2013, pp. 78-81.
C.X. Yang, L. Gao and C. Lu, “Research on the Clustering Algorithm of a Balanced Energy Consumption of Nodes for WSN,” Journal of Jiamusi University(Nztural Science Edition), vol. 33, Nov. 2015, pp. 925-928.
X.Q. Wang, Y.J. Ou and N.L. Huang, “Design and Implementation of ZigBee Wireless Sensor Network,” Benjing, Chemical Industry Press, 2012, pp. 125-150.
L. Kang and Z.S. Dong, “An Improved Unequal Clustering Algorithm Based on Cluster Head Classification,” Chinese Journal of Sensors and Actuators, vol. 28, Dec. 2015, pp. 1841-1845.
Z.Y. Tao and S.F. Jiang, “Clustering Algorithm for Wireless Sensor Networks with Mobile Clusterheads,” Computer Engineering and Applications, vol. 52, Mar. 2016, pp. 75-78.
H.B. Yu, W. Liang and P. Zeng, “Intelligent Wireless Sensor Network System,” Beijing, Science Press, 2013, pp. 161-173.
Z.Y. Sun and C. Zhou, “Adaptive Clustering Algorithm in WSN Based on Energy and Distance,” Journal of Northeast Dianli University, vol. 36, Feb. 2016, pp. 82-86.
C.S. Zhang, J. Xing and S.Q. Zhao, “Energy-efficeent Uneven Clustering Algorithm, ” Computer Engineering and Applications, vol. 52, Apr. 2016, pp. 106-109.
J.Z. Li, H.T. Wang and A. Tao, “An Energy Balanced Clustering Routing Protocol for WSN,” Chinese Journal of Sensors and Actuators, vol. 26, Mar. 2013, pp. 396-401.