Probabilistic Neighborhood Location-Point Covering Set-Based Data Collection Algorithm With Obstacle Avoidance for Three-Dimensional Underwater Acoustic Sensor Networks
Data collection is the core function of underwater acoustic sensor networks (UASNs). Lately, ambulatory data gathering methods are being popularized in real applications. However, due to present mobile underwater data collection investigations that are on the basis of 2-D scenarios, the associated a...
Main Authors: | Guangjie Han, Hao Wang, Shanshan Li, Jinfang Jiang, Wenbo Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8089330/ |
Similar Items
-
Probabilistic Neighborhood-Based Data Collection Algorithms for 3D Underwater Acoustic Sensor Networks
by: Guangjie Han, et al.
Published: (2017-02-01) -
An Energy-Efficient and Obstacle-Avoiding Routing Protocol for Underwater Acoustic Sensor Networks
by: Zhigang Jin, et al.
Published: (2018-11-01) -
A Real-Time Reaction Obstacle Avoidance Algorithm for Autonomous Underwater Vehicles in Unknown Environments
by: Zheping Yan, et al.
Published: (2018-02-01) -
Collision Avoidance of Moving Obstacles for Underwater Robots
by: KWON KYOUNG YOUB, et al.
Published: (2006-10-01) -
Path Following, Obstacle Detection and Obstacle Avoidance for Thrusted Underwater Snake Robots
by: Eleni Kelasidi, et al.
Published: (2019-07-01)