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

Ting Ye and Baowei Wang
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Ting Ye: School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China
Baowei Wang: Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, Jiangsu, China

Future Internet, 2016, vol. 8, issue 3, 1-12

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.

Keywords: wireless sensor networks; routing protocol; clustering; cluster density (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2016
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