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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...
For multi-hop data collection in wireless sensor network, a fundamental problem is to improve the energy efficiency with the constraint of network connectivity. The HCR protocol combines the gradient routing with dynamic clustering to provide connected and efficient inter-cluster topology with limited transmission range. However, it suffers from the imbalanced energy consumption which leads to the...
Dynamic clustering provides a scalable and energy efficient solution for data transmission in wireless sensor networks. Observing the fact that the cluster reorganization can not solve the problem of imbalanced energy consumption in the inter-cluster communication, we propose an adaptive routing strategy for cluster-based wireless sensor networks (ARC). The goal of ARC is to balance the energy consumption...
Dynamic Clustering is an efficient topology management approach for sensor networks. Observing the fact that the clustering has tight relations with inter-cluster routing problem, we propose a hybrid clustering and routing protocol (HCR) that considers both the cluster head selection and routing discovery problems. Random backoff and gradient routing strategies are used to achieve our design goals...
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