scholarly journals Symmetric Connectivity of Underwater Acoustic Sensor Networks Based on Multi-Modal Directional Transducer

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6548
Author(s):  
Gang Qiao ◽  
Qipei Liu ◽  
Songzuo Liu ◽  
Bilal Muhammad ◽  
Menghua Wen
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Hamiltonian Path ◽  
Acoustic Sensor ◽  
Underwater Acoustic Sensor Networks ◽  
Underwater Acoustic ◽  
Grid Graphs ◽  
Network Cost ◽  
Acoustic Sensor Networks ◽  
Set Up

Topology control is one of the most essential technologies in wireless sensor networks (WSNs); it constructs networks with certain characteristics through the usage of some approaches, such as power control and channel assignment, thereby reducing the inter-nodes interference and the energy consumption of the network. It is closely related to the efficiency of upper layer protocols, especially MAC and routing protocols, which are the same as underwater acoustic sensor networks (UASNs). Directional antenna technology (directional transducer in UASNs) has great advantages in minimizing interference and conserving energy by restraining the beamforming range. It enables nodes to communicate with only intended neighbors; nevertheless, additional problems emerge, such as how to guarantee the connectivity of the network. This paper focuses on the connectivity problem of UASNs equipped with tri-modal directional transducers, where the orientation of a transducer is stabilized after the network is set up. To efficiently minimize the total network energy consumption under constraint of connectivity, the problem is formulated to a minimum network cost transducer orientation (MNCTO) problem and is provided a reduction from the Hamiltonian path problem in hexagonal grid graphs (HPHGG), which is proved to be NP-complete. Furthermore, a heuristic greedy algorithm is proposed for MNCTO. The simulation evaluation results in a contrast with its omni-mode peer, showing that the proposed algorithm greatly reduces the network energy consumption by up to nearly half on the premise of satisfying connectivity.

scholarly journals Energy Consumption in Relay Underwater Acoustic Sensor Networks for NDN

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 42694-42702 ◽  
Author(s):  
Guanglin Xing ◽  
Yumeng Chen ◽  
Liuting He ◽  
Wanyan Su ◽  
Rui Hou ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Acoustic Sensor ◽  
Underwater Acoustic Sensor Networks ◽  
Underwater Acoustic ◽  
Acoustic Sensor Networks

scholarly journals Underwater Acoustic Sensor Networks Node Localization Based on Compressive Sensing in Water Hydrology

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4552
Author(s):  
Sen Wang ◽  
Yun Lin ◽  
Hongxu Tao ◽  
Pradip Kumar Sharma ◽  
Jin Wang
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Acoustic Sensor ◽  
Localization Algorithm ◽  
Underwater Acoustic Sensor Networks ◽  
Node Localization ◽  
Underwater Acoustic ◽  
Acoustic Sensor Networks ◽  
Range Free

Groundwater is an important source of human activities, agriculture and industry. Underwater Acoustic Sensor Networks (UASNs) is one of the important technologies for marine environmental monitoring. Therefore, it is of great significance to study the node self- localization technology of underwater acoustic sensor network. This paper mainly studies the node localization algorithm based on range-free. In order to save cost and energy consumption, only a small number of sensing nodes in sensor networks usually know their own location. How to locate all nodes accurately through these few nodes is the focus of our research. In this paper, combined with the compressive sensing algorithm, a range-free node localization algorithm based on node hop information is proposed. Aiming at the problem that connection information collected by the algorithm is an integer, the hop is modified to further improve the localization performance. The simulation analysis shows that the improved algorithm is effective to improve the localization accuracy without additional cost and energy consumption compared with the traditional method.

scholarly journals Optimization of multiple gateway deployment for underwater acoustic sensor networks

2011 ◽  
Vol 8 (4) ◽  
pp. 1073-1095 ◽  
Author(s):  
Jugen Nie ◽  
Deshi Li ◽  
Yanyan Han
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Packet Loss ◽  
Acoustic Sensor ◽  
Underwater Acoustic Sensor Networks ◽  
Underwater Acoustic ◽  
Novel Technologies ◽  
Acoustic Sensor Networks ◽  
Gateway Deployment ◽  
Simultaneous Transmission

This research aims to develop novel technologies to efficiently integrate wireless communication networks and Underwater Acoustic Sensor Networks (UASNs). Surface gateway deployment is one of the key techniques for connecting two networks with different channels. In this work, we propose an optimization method based on the genetic algorithm for surface gateway deployment, design a novel transmission mechanism-simultaneous transmission, and realize two efficient routing algorithms that achieve minimal delay and payload balance among sensor nodes. We further develop an analytic model to study the delay, energy consumption and packet loss ratio of the network. Our simulation results verify the effectiveness of the model, and demonstrate that the technique of multiple gateway deployment and the mechanism of simultaneous transmission can effectively reduce network delay, energy consumption and packet loss rate.

scholarly journals Itinerary Aware Data Delivery Technique for Underwater Acoustic Sensor Networks

2019 ◽  
Vol 9 (2) ◽  
pp. 593-597
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Data Acquisition ◽  
Delivery Ratio ◽  
Data Delivery ◽  
Acoustic Sensor ◽  
Underwater Acoustic Sensor Networks ◽  
Underwater Acoustic ◽  
Acoustic Sensor Networks ◽  
Delivery Technique

Monitoring and maintaining aquatic environment is the universal need and Underwater Acoustic Sensor Networks (UASN) is an emerging technology plays a major role in acoustic data acquistion. The data acquisition is challenging issue in UASN due to its communication characteristics. Though, there are several geo-opportunistic routing protocols were explored to improve the data acquisition it can be still improved by enhanced routing technique. The existing Geo-graphical depth adjustment routing (GEDAR) uses Global Positioning System(GPS) based notes for improving data acquisition, however it consumes more energy and increases overhead. We make an attempt to study about efficient data acquisition process and its path reliability. The proposed Itinerary aware routing protocol(IARP) acquires neighboring node’s information for constructing efficient and reliable link with minimum information which improves data delivery ratio with minimum energy consumption. The proposed IARP increases 11% packet delivery ratio and reduces delay by 13%, and energy consumption by 9% comparing with existing GEDAR based algorithm. IARP also performs better than Depth based routing (DBR).

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