Ping Ding
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ping Ding has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Guozhen Xing
School of Applied Science and Technology, Hainan University, Haikou, China
1 shared publication - Jinglan Ma
School of Applied Science and Technology, Hainan University, Haikou 570228, China
1 shared publication - Ye Chen
School of Electrical and Information Engineering, Tianjin University, Tianjin, China
1 shared publication - Zhigang Jin
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
1 shared publication - Ziyu Zhou
School of Applied Science and Technology, Hainan University, Haikou, China
1 shared publication
Latest Publications
- Open Access
- 3 July 2023
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 11 (7) , 1354
A Secure Localization Scheme for UASNs Based on Anchor Node Self-Adaptive Adjustment
The UASNs are widely used in underwater communications and monitoring, and many applications require accurate information regarding the position of nodes. However, intentional attacks against devices or information transmission may exist in the network, and the localization process is periodic, so it is necessary to quickly address attacks and optimize the network structure. This paper proposed an anchor node self-adaptive adjustment localization scheme (ASAL), in which the anchor node can adjust the state and depth of its participation. Two filters were used to adjust the states of referable nodes. The first filter was based on the distance difference of reverse information transmission after direct localization based on anchor nodes. The second was based on the error of the anchor node’s reverse localization after network localization was completed. In addition, a depth-adjustment mechanism of anchor nodes was proposed to optimize the network structure, the virtual force vector was introduced to describe the cost of depth adjustment, and the whale optimization algorithm was used to converge to the depth with the minimum total cost. The simulation results showed that the scheme can ensure localization accuracy and coverage in attack scenarios and reduce localization energy consumption.
- 3 July 2023
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 11 (7) , 1354
Open AccessA Secure Localization Scheme for UASNs Based on Anchor Node Self-Adaptive Adjustment
The UASNs are widely used in underwater communications and monitoring, and many applications require accurate information regarding the position of nodes. However, intentional attacks against devices or information transmission may exist in the network, and the localization process is periodic, so it is necessary to quickly address attacks and optimize the network structure. This paper proposed an anchor node self-adaptive adjustment localization scheme (ASAL), in which the anchor node can adjust the state and depth of its participation. Two filters were used to adjust the states of referable nodes. The first filter was based on the distance difference of reverse information transmission after direct localization based on anchor nodes. The second was based on the error of the anchor node’s reverse localization after network localization was completed. In addition, a depth-adjustment mechanism of anchor nodes was proposed to optimize the network structure, the virtual force vector was introduced to describe the cost of depth adjustment, and the whale optimization algorithm was used to converge to the depth with the minimum total cost. The simulation results showed that the scheme can ensure localization accuracy and coverage in attack scenarios and reduce localization energy consumption.