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Sensors 2015, 15(10), 26583-26605; doi:10.3390/s151026583

Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks

1
School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350000, China
2
Fujian Key Laboratory of Industrial Control and Information Security Technology, Science and Technology Department of Fujian Province, Fuzhou 350000, China
3
School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
This paper is an extended version of our paper published in Chen, L.; et al. A Dynamic Clustering and Routing Protocol for Multi-hop Data Collection in Wireless Sensor Networks. In Proceedings of the 34th Chinese Control Conference (CCC), Hangzhou, China, 28–30 July 2015.
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 5 September 2015 / Revised: 9 October 2015 / Accepted: 13 October 2015 / Published: 20 October 2015
(This article belongs to the Section Sensor Networks)
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Abstract

Multi-hop data collection in wireless sensor networks (WSNs) is a challenge issue due to the limited energy resource and transmission range of wireless sensors. The hybrid clustering and routing (HCR) strategy has provided an effective solution, which can generate a connected and efficient cluster-based topology for multi-hop data collection in WSNs. However, it suffers from imbalanced energy consumption, which results in the poor performance of the network lifetime. In this paper, we evaluate the energy consumption of HCR and discover an important result: the imbalanced energy consumption generally appears in gradient k = 1, i.e., the nodes that can communicate with the sink directly. Based on this observation, we propose a new protocol called HCR-1, which includes the adaptive relay selection and tunable cost functions to balance the energy consumption. The guideline of setting the parameters in HCR-1 is provided based on simulations. The analytical and numerical results prove that, with minor modification of the topology in gradient k = 1, the HCR-1 protocol effectively balances the energy consumption and prolongs the network lifetime. View Full-Text
Keywords: energy balance; hybrid clustering and routing; energy efficiency; dynamic clustering; data collection; wireless sensor networks energy balance; hybrid clustering and routing; energy efficiency; dynamic clustering; data collection; wireless sensor networks
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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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Xu, Z.; Chen, L.; Liu, T.; Cao, L.; Chen, C. Balancing Energy Consumption with Hybrid Clustering and Routing Strategy in Wireless Sensor Networks. Sensors 2015, 15, 26583-26605.

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