A Weighted Voronoi Diagram-Based Self-Deployment Algorithm for Heterogeneous Directional Mobile Sensor Networks in Three-Dimensional Space

Tan, Li; Tang, Xiaoshuang; Hussain, Anbar; WANG, Haoyu

doi:10.1587/transcom.2019ebp3111

Cited by 4 publications

(1 citation statement)

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“…For the self-deployment of mixed directional wireless sensor networks in three-dimensional space, Tan Li [31] proposed a three-dimensional self-deployment algorithm based on a weighted Voronoi diagram (3DV-HDDA). In order to improve the network coverage of the monitoring area, 3DV-HDDA algorithm uses the weighted Voronoi diagram to move the sensor nodes, introduces the virtual boundary torque to rotate the sensor nodes to make the sensor nodes reach the best position, and also includes the improved algorithm based on the centralized sensor node position (3DV-HDDA-I).…”

Section: Related Workmentioning

confidence: 99%

Monitoring Area Coverage Based on Control Multimedia Nodes Position in Mixed Underwater Mobile Wireless Sensor Networks

Liu

2022

Advances in Multimedia

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Due to the high cost of mobile nodes and the low cost of fixed nodes, in some applications of wireless sensor networks, in order to reduce the use cost, the mixed mode is used for node deployment. The deployed nodes include both fixed and mobile nodes. After the nodes are deployed, the fixed nodes do not move, and the mobile nodes move reasonably according to the network coverage to improve the network coverage effect. Due to the differences in equipment structure and use cost between fixed nodes and mobile nodes, in order to complete the monitoring task under the condition of reducing the use cost of wireless sensor networks, the number and position of mobile nodes can be reasonably adjusted as needed to improve the effective coverage area of wireless sensor networks. In the process of adjusting the position of mobile nodes, the moving distance of mobile nodes is fully considered. Simulation results show that this algorithm can improve the coverage effect of mixed wireless sensor networks and reduce the moving distance of mobile nodes.

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Section: Related Workmentioning

confidence: 99%