Wireless Sensor Network Topology Control Sing Clustering

Krishna, Konda Hari; Babu, Y. Suresh; Kumar, Tapas

doi:10.1016/j.procs.2016.03.106

Cited by 4 publications

(1 citation statement)

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“…The CLTC (Cluster-Based Topology Control) framework has been improved in [27]. First, the nodes were divided into clusters by k-means algorithm, and then topology control between clusters was implemented by using relative neighborhood graph.…”

Section: Related Workmentioning

confidence: 99%

A Cluster Sleep-Wake Scheduling Algorithm Based on 3D Topology Control in Underwater Sensor Networks

Zhang

Wang

Han

et al. 2019

Sensors

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3D topology control in underwater sensor networks is of great significance to ensuring reliable and efficient operation of the network. In this paper, by analyzing the characteristics of an underwater sensor network, we take the cube as the basic unit to perform 3D partition of the monitoring area, define the 3D partition unit and basic cluster structure of the underwater sensor network, and arrange rotating temporary control nodes in the cluster. Then, a cluster sleep-wake scheduling algorithm is proposed that compares the remaining node energy. It selects the node with the largest remaining energy as the working node, and the remaining nodes complete the transition of dormancy and waiting states as long as they reach the preset dormancy time. The node state settings of this phase are completed by the temporary control node. Temporary control nodes selecting and sleep-wake scheduling are used in the algorithm through 3D topology control, which reduces energy consumption and guarantees maximum sensing coverage of the entire network and the connection rate of active nodes. Simulation results further verify the effectiveness of the proposed algorithm.

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Section: Related Workmentioning

confidence: 99%