Fujian Key Laboratory of Industrial Control and Information Security Technology

Fuzhou, China

Fujian Key Laboratory of Industrial Control and Information Security Technology

Fuzhou, China

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Xu Z.,Fuzhou University | Xu Z.,Fujian Key Laboratory of Industrial Control and Information Security Technology | Chen L.,Fuzhou University | Chen L.,Fujian Key Laboratory of Industrial Control and Information Security Technology | And 5 more authors.
Sensors (Switzerland) | Year: 2015

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. © 2015 by the authors; licensee MDPI, Basel, Switzerland.


Xu Z.,Fuzhou University | Xu Z.,Fujian Key Laboratory of Industrial Control and Information Security Technology | Chen L.,Fuzhou University | Chen L.,Fujian Key Laboratory of Industrial Control and Information Security Technology | And 7 more authors.
International Journal of Distributed Sensor Networks | Year: 2015

Due to the limited energy of wireless sensor nodes, the energy efficiency of data collection is a key issue in wireless sensor network (WSN). Dynamic clustering is a scalable and energy efficient solution for data collection in WSN. However, it suffers from the imbalanced energy consumption in the intercluster communication. To solve this problem, in this paper, we propose a distributed and adaptive routing protocol for cluster-based wireless sensor networks (DARC). In DARC, an adaptive energy threshold is proposed for the cluster head to control its intercluster routing mode, and a tunable cost function is designed for relay selection. Simulation results prove that DARC effectively balances the energy consumption in the intercluster communication and hence improves the energy efficiency and prolongs the network lifetime. © 2015 Zhezhuang Xu et al.


Xu Z.,Fuzhou University | Xu Z.,Fujian Key Laboratory of Industrial Control and Information Security Technology | Chen L.,Fuzhou University | Chen L.,Fujian Key Laboratory of Industrial Control and Information Security Technology | And 4 more authors.
IEEE Internet of Things Journal | Year: 2016

For data collection in large-scale wireless sensor networks (WSNs), dynamic clustering provides a scalable and energy-efficient solution, which uses cluster head (CH) rotation and cluster range assignment algorithms to balance the energy consumption. Nevertheless, most existing works consider the clustering and routing as two isolated issues, which is harmful to the connectivity and energy efficiency of the network. In this paper, we provide a detailed analysis on the relations between clustering and routing, and then propose a joint clustering and routing (JCR) protocol for reliable and efficient data collection in large-scale WSN. JCR adopts the backoff timer and gradient routing to generate connected and efficient intercluster topology with the constraint of maximum transmission range. The relations between clustering and routing in JCR are further exploited by theoretical and numerical analyses. The results show that the multihop routing in JCR may lead to the unbalanced CH selection. Then, the solution is provided to optimize the network lifetime by considering the gradient of one-hop neighbor nodes in the setting of backoff timer. Theoretical analysis and simulation results prove the connectivity and efficiency of the network topology generated by JCR. © 2015 IEEE.

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