Check patentability & draft patents in minutes with Patsnap Eureka AI!

Multi-AUV high-efficiency data collection method in underwater sensing network based on SOM

A technology of data collection and sensor network, applied in specific environment-based services, advanced technologies, transmission systems, etc., can solve the problems of unable to carry large-capacity batteries, unable to communicate with sub-networks, limited energy of nodes, etc., and achieve high reliability And, improve system robustness, low latency effect

Active Publication Date: 2018-10-19
HOHAI UNIV CHANGZHOU
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (2) Node energy is limited
Nodes deployed underwater are constrained by cost and volume, and cannot carry large-capacity batteries. They can only be powered by their own small-capacity batteries or self-charged by using the natural environment;
Affected by water currents and sea winds, the position of the sensor is dynamically changing and has uncertainty. It is difficult to ensure that the data transmission link is always connected and reliable, and there are often some sub-networks that cannot communicate.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-AUV high-efficiency data collection method in underwater sensing network based on SOM
  • Multi-AUV high-efficiency data collection method in underwater sensing network based on SOM
  • Multi-AUV high-efficiency data collection method in underwater sensing network based on SOM

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0036] The underwater environment has its complex characteristics. Therefore, when deploying an underwater wireless sensor network, it is difficult to predict the distribution of nodes. The usual distribution is random, sparse, and uneven in density. Therefore, due to underwater obstacles, network equipment failure, etc., there are sub-networks that cannot communicate with each other, and this network is modeled, such as figure 1 shown.

[0037] Nodes are randomly deployed in the tar...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-AUV high-efficiency data collection method in an underwater sensing network based on SOM. Firstly a multi-AUV task distribution algorithm based on the SOM is presented.According to task description and network input / output angle, factors such as a distance between the AUV and a cluster head, AUV residual energy, sub-network information value and sub-network data flow are comprehensively considered. Through excellent clustering analysis capability of the SOM, a studying competition function which accords with an actual requirement is designed so that reasonabledistribution of the multiple AUVs in a self-organizing manner can be realized on the condition of a large number of tasks, thereby equalizing AUV energy and reducing time delay in data collection. Then an improved ant colony algorithm is presented for a single-AUV path planning problem. Through adding an adaptability factor and an adjusting operator in a pheromone updating process, local optimum of the ant colony algorithm in an iteration process is prevented, and a better AUV path can be found more easily in higher speed, thereby improving searching efficiency.

Description

technical field [0001] The invention belongs to the technical field of underwater wireless sensor network data collection, in particular to a multi-AUV efficient data collection method in an SOM-based underwater wireless sensor network. Background technique [0002] Underwater wireless sensor network is a sensor network that deploys nodes underwater or on the water surface. Although some uncontrollable environmental factors in the water have caused interference to the deployment and application of the network, it cannot be denied that it has the potential to monitor the underwater environment. , Mineral resource detection, underwater target tracking, mine detection and auxiliary navigation and other aspects have an inestimable role. If a worker wants to do a good job, he must first sharpen his tools. There are many research directions for underwater wireless sensor networks, which can be roughly divided into data collection, node positioning, network topology control, securi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04W4/38H04W84/18H04B13/02
CPCH04B13/02H04W84/18H04W4/38Y02D30/70
Inventor 韩光洁唐正凯王皓江金芳
Owner HOHAI UNIV CHANGZHOU
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More