An Efficient Coverage Control Algorithm for Three-dimensional Underwater Sensor Networks

2012 ◽  
Vol 4 (10) ◽  
pp. 393-399
Author(s):  
Fu Xiao ◽  
Yang Yang ◽  
Lijuan Sun ◽  
Ruchuan Wang
Keyword(s):  
Sensor Networks ◽  
Control Algorithm ◽  
Three Dimensional ◽  
Underwater Sensor Networks ◽  
Coverage Control

An Adjustable Topology Control Algorithm for Three-Dimensional Wireless Sensor Networks

2012 ◽  
Vol 268-270 ◽  
pp. 1910-1915
Author(s):  
Yan Chen ◽  
Wen Kang Wu ◽  
Liang Li
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Control Algorithm ◽  
Three Dimensional ◽  
Traffic Load ◽  
Wireless Sensor ◽  
Node Degree ◽  
Perfect State ◽  
Neighbourhood Graph

In three-dimensional wireless sensor networks, a topology with higher node degrees usually has many routes that consume less energy, but it increases the traffic load of the whole network. Therefore, the trade-off is between the node degree and the energy efficiency. In view of this question, this paper presents the definition and property of 3D r-neighbourhood graph, and uses the graph to balance the node degree and the energy efficiency of the whole network. This algorithm named NGTC, and it can adjust the structure of the networks to be a perfect state. Finally, the simulation results prove the advantage of this algorithm.

scholarly journals ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1414 ◽  
Author(s):  
Feng Zhou ◽  
Yushi Li ◽  
Hejun Wu ◽  
Zhimin Ding ◽  
Xiying Li
Keyword(s):  
Sensor Networks ◽  
Sensor Node ◽  
Three Dimensional ◽  
Mobile Sensor Networks ◽  
Sensor Nodes ◽  
Underwater Sensor Networks ◽  
Water Currents ◽  
Localization Scheme ◽  
Moving Direction ◽  
Gps Devices

We study the problem of three-dimensional localization of the underwater mobile sensor networks using only range measurements without GPS devices. This problem is challenging because sensor nodes often drift with unknown water currents. Consequently, the moving direction and speed of a sensor node cannot be predicted. Moreover, the motion devices of the sensor nodes are not accurate in underwater environments. Therefore, we propose an adaptive localization scheme, ProLo, taking these uncertainties into consideration. This scheme applies the rigidity theory and maintains a virtual rigid structure through projection. We have proved the correctness of this three-dimensional localization scheme and also validated it using simulation. The results demonstrate that ProLo is promising for real mobile underwater sensor networks with various noises and errors.

A LOW-COST RANGE-FREE LOCALIZATION SCHEME FOR THREE-DIMENSIONAL UNDERWATER SENSOR NETWORKS

2013 ◽  
Vol 05 (01) ◽  
pp. 1350005
Author(s):  
XIANLING LU ◽  
DEYING LI ◽  
YI HONG ◽  
WENPING CHEN
Keyword(s):  
Sensor Networks ◽  
Low Cost ◽  
Three Dimensional ◽  
Underwater Sensor Networks ◽  
Transmission Power ◽  
Localization Accuracy ◽  
Localization Scheme ◽  
Variable Transmission ◽  
Anchor Nodes ◽  
Range Free

Localization is one of the fundamental tasks for underwater sensors networks (USNs). It is required for data tagging, target detection, route protocols, and so on. In this paper, we propose an efficient low-cost range-free localization scheme for 3D underwater sensor networks (3D-LRLS) without any additional hardware infrastructure. In our scheme, each anchor node has variable transmission power levels. At first, the power levels of each anchor are decided by the Delaunay triangulation for the network space. Then, ordinary sensors listen to the beacons sent from the anchor nodes. Based on the beacon messages, each node calculates its location individually by a low computational complexity method. The extensive simulation results demonstrate that 3D-LRLS is efficient in terms of both localization ratio and localization accuracy.

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