4.6 Article

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

Journal

SENSORS
Volume 19, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/s19010156

Keywords

underwater sensor networks; 3D topology control; clustering; cluster sleep-wake scheduling algorithm

Funding

  1. Liaoning fourth bulk transfer of distinguished professor project (2014)
  2. Liaoning distinguished professor project (2017)
  3. Liaoning BaiQianWan Talents Program (2016)
  4. Natural Science Foundation of Liaoning Province [20170540793]
  5. Program for Liaoning Excellent Talents in University [LR2017009]
  6. Fundamental Research Funds for the Central Universities [DUT17RC(3)094]
  7. Liaoning province [2015465]
  8. open foundation project of Shenyang Ligong University
  9. National Natural Science Foundation of China [61572172, 61872124]
  10. National Natural Science Foundation of China-Guangdong Joint Fund [U1801264]

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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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