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Future Internet 2016, 8(3), 27; doi:10.3390/fi8030027

Density Self-Adaptive Hybrid Clustering Routing Protocol for Wireless Sensor Networks

1,* and 2,3,*
1
School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China
2
Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, Jiangsu, China
3
Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Jose Ignacio Moreno Novella
Received: 18 April 2016 / Revised: 21 June 2016 / Accepted: 22 June 2016 / Published: 29 June 2016
View Full-Text   |   Download PDF [1894 KB, uploaded 29 June 2016]   |  

Abstract

Energy efficiency is of major concern in wireless sensor networks, especially in difficult node deployment environments. Clustering is an effective method to save energy consumption and prolong the network lifetime. There are two kinds of clustering methods in hierarchical routing protocols, namely distributed control and centralized control. In the distributed strategy, the algorithm has good scalability, but it can easily lead to an uneven distribution of cluster heads. When the centralized strategy is used, the network is balanced and robust, but the overhead of clustering is large and the network latency is increased. In our proposed protocol, named DAHC, a mixture algorithm of distributed and centralized control is used to select a cluster head (CH). Simultaneously, we propose a novel approach to judge the cluster density and adjust according to the preset threshold. The simulation results show that our methods can evenly distribute the energy load on all nodes, save the energy consumption of communication and extend the network lifetime concurrently. View Full-Text
Keywords: wireless sensor networks; routing protocol; clustering; cluster density wireless sensor networks; routing protocol; clustering; cluster density
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Ye, T.; Wang, B. Density Self-Adaptive Hybrid Clustering Routing Protocol for Wireless Sensor Networks. Future Internet 2016, 8, 27.

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