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

• Main Authors: Zhezhuang Xu, Liquan Chen, Ting Liu, Lianyang Cao, Cailian Chen
• Format: Article
• Language: English
• Published: MDPI AG 2015-10-01
• Series: Sensors
• Subjects: energy balance; hybrid clustering and routing; energy efficiency; dynamic clustering; data collection; wireless sensor networks
• Online Access: http://www.mdpi.com/1424-8220/15/10/26583

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.