scholarly journals Node Deployment Algorithm Based on Connected Tree for Underwater Sensor Networks

Sensors ◽  
2015 ◽  
Vol 15 (7) ◽  
pp. 16763-16785 ◽  
Author(s):  
Peng Jiang ◽  
Xingmin Wang ◽  
Lurong Jiang
Keyword(s):  
Sensor Networks ◽  
Underwater Sensor Networks ◽  
Node Deployment

scholarly journals A New Node Deployment and Location Dispatch Algorithm for Underwater Sensor Networks

Sensors ◽  
2016 ◽  
Vol 16 (1) ◽  
pp. 82 ◽  
Author(s):  
Peng Jiang ◽  
Jun Liu ◽  
Binfeng Ruan ◽  
Lurong Jiang ◽  
Feng Wu
Keyword(s):  
Sensor Networks ◽  
Underwater Sensor Networks ◽  
Node Deployment

Quality Enhancement in Underwater Sensor Networks Through Node Deployment Plans

2021 ◽  
pp. 16-33
Author(s):  
Anju Sangwan ◽  
Anupma Sangwan ◽  
Deepti Rani ◽  
Rishi Pal Singh
Keyword(s):  
Sensor Networks ◽  
Quality Parameters ◽  
Two Dimensions ◽  
Three Dimensions ◽  
Quality Enhancement ◽  
Underwater Sensor Networks ◽  
Node Deployment ◽  
Successful Communication ◽  
Core Idea ◽  
The Mind

Due to widespread applications and an orientation towards dimensionality enhancement, the underwater sensor networks (UWSNs) are going to be in demand for today's researchers. The core idea to design a strong and reliable build under the water revolves around the master plan of sensor deployment. The quality parameters like coverage, connectivity, and network lifespan, etc. are considered as main pillars for these deployment plans. There is always a trade-off between these quality parameters. So, it is quite necessary to maintain a balance among these parameters in order to establish a successful communication system. In this chapter, the authors have categorized the node deployment plans on the basis of the above-stated quality parameters. During this categorization, the view of dimensionality enhancement from two dimensions to three dimensions is also kept in the mind.

Efficient Node Deployment Algorithm for Enhancing Connectivity and Coverage in Underwater Sensor Networks

2019 ◽  
Vol 17 (12) ◽  
pp. 947-954
Author(s):  
Kamal Kumar Gola ◽  
Bhumika Gupta
Keyword(s):  
Sensor Networks ◽  
Sensor Network ◽  
Water Surface ◽  
Area Coverage ◽  
Underwater Sensor Networks ◽  
Node Deployment ◽  
Underwater Sensor Network ◽  
Surface Station ◽  
Coverage And Connectivity ◽  
2D Network

As deployment process is one of the major tasks in underwater sensor network due to its constraint like: acoustic communication, energy, processing speed, cost and memory and dynamic nature of water. As many researchers have proposed many algorithms for the deployment of nodes in underwater sensor network. It was always a great issue in WSN as well as underwater sensor networks. This work proposes a node deployment technique based on depth. This work consists the following major components: (i) sensor nodes to sense the phenomena in underwater sensor networks, (ii) multiple surface station on the water surface. Use of multiple surface station provides better area coverage and connectivity in the networks. This work is divided into three phase like: initialization where nodes are randomly deployed at water surface and from 2D network topology, second phase is depth calculation for all the nodes and third is to distribute the depth to each node and send them to their designated depth to expand the 2D network into the 3D network. The proposed technique is simulated on Matlab for the analysis of area coverage and connectivity. Simulation results show better performance in terms of area coverage and connectivity as compared to ADAN-BC.

scholarly journals Node Deployment Algorithm for Underwater Sensor Networks Based on Connected Dominating Set

Sensors ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. 388 ◽  
Author(s):  
Peng Jiang ◽  
Jun Liu ◽  
Feng Wu ◽  
Jianzhong Wang ◽  
Anke Xue
Keyword(s):  
Sensor Networks ◽  
Dominating Set ◽  
Connected Dominating Set ◽  
Underwater Sensor Networks ◽  
Node Deployment

Multi-AUV Aided Cooperative 3D-localization for Underwater Sensor Networks

2020 ◽  
Vol 13 (1) ◽  
pp. 80-90 ◽  
Author(s):  
Meiyan Zhang ◽  
Wenyu Cai
Keyword(s):  
Sensor Networks ◽  
Mean Squared Error ◽  
Autonomous Underwater Vehicles ◽  
Estimation Method ◽  
Location Estimation ◽  
Underwater Sensor Networks ◽  
Coverage Ratio ◽  
Minimum Mean Squared Error ◽  
3D Localization ◽  
Localization Scheme

Background: Effective 3D-localization in mobile underwater sensor networks is still an active research topic. Due to the sparse characteristic of underwater sensor networks, AUVs (Autonomous Underwater Vehicles) with precise positioning abilities will benefit cooperative localization. It has important significance to study accurate localization methods. Methods: In this paper, a cooperative and distributed 3D-localization algorithm for sparse underwater sensor networks is proposed. The proposed algorithm combines with the advantages of both recursive location estimation of reference nodes and the outstanding self-positioning ability of mobile AUV. Moreover, our design utilizes MMSE (Minimum Mean Squared Error) based recursive location estimation method in 2D horizontal plane projected from 3D region and then revises positions of un-localized sensor nodes through multiple measurements of Time of Arrival (ToA) with mobile AUVs. Results: Simulation results verify that the proposed cooperative 3D-localization scheme can improve performance in terms of localization coverage ratio, average localization error and localization confidence level. Conclusion: The research can improve localization accuracy and coverage ratio for whole underwater sensor networks.

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