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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...
Network scalability and energy efficiency in wireless sensor networks should be supported by elaborate topology control. Clustering algorithms are useful topology management approach to reduce communication overhead and exploit data aggregation in wireless sensor networks. A clustering algorithm based on cell combination is presented in the paper for the networks where sensor nodes are distributed...
Wireless sensor network are consist of hundreds or thousands of sensor nodes deployed in an area of interest for gathering information. Sensor nodes are harshly energy constrained therefore it is important to organize in a way to save the energy during processing, receiving and communication with base station. Sensor nodes are classified in different clusters. Efficient cluster head is selected in...
Clustering is an effective approach to hierarchically organizing network topology for efficient data aggregation in wireless sensor networks (WSNs). In this paper, we present a new approach to energy-efficient, distributed clustering in WSNs using the recent modeling and computational methodology of factor graphs and message-passings. We first formulate the sensor clustering as an optimization problem...
Sink mobility has become an increasingly important requirement of various sensor network applications. Handling such mobile sink conditions brings new challenges to large-scale sensor networking. This investigation proposed a hybrid-structure routing protocol (HSRP) that combines the benefits of grid-based and cluster-based structures. Grid-based structure is designed to solve the cluster head selection...
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