Jing Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jing Wang has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Guangjie Han
Hohai University
2 shared publications - Wenbo Zhang
College of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China
2 shared publications - Xin-Yue Zhang
No. 2 Middle School of Shenyang, Shenyang 110006, China
1 shared publication - Yongxin Feng
School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China
1 shared publication - Yue Liu
School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China
1 shared publication
Latest Publications
- 25 July 2020
- Published by Springer Nature in Mobile Networks and Applications
- Vol. 26 (3) , 1107-1121
A Coverage Vulnerability Repair Algorithm Based on Clustering in Underwater Wireless Sensor Networks
- 25 July 2020
- Published by Springer Nature in Mobile Networks and Applications
- Vol. 26 (3) , 1107-1121
A Coverage Vulnerability Repair Algorithm Based on Clustering in Underwater Wireless Sensor Networks
- Open Access
A Cluster Sleep-Wake Scheduling Algorithm Based on 3D Topology Control in Underwater Sensor Networks
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.
Open AccessA Cluster Sleep-Wake Scheduling Algorithm Based on 3D Topology Control in Underwater Sensor Networks
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.