scholarly journals Utilizing acoustic propagation delay to design MAC protocols for underwater wireless sensor networks

2008 ◽  
Vol 8 (8) ◽  
pp. 1035-1044 ◽  
Author(s):  
Peng Guo ◽  
Tao Jiang ◽  
Guangxi Zhu ◽  
Hsiao-Hwa Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Propagation Delay ◽  
Acoustic Propagation ◽  
Mac Protocols ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks

scholarly journals Mobile target localization based on iterative tracing for underwater wireless sensor networks

2020 ◽  
Vol 16 (7) ◽  
pp. 155014772094063
Author(s):  
Ruolin Guo ◽  
Danyang Qin ◽  
Min Zhao ◽  
Guangchao Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Acoustic Waves ◽  
Propagation Delay ◽  
Target Localization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks ◽  
Underwater Environment ◽  
Mobile Target

In underwater wireless sensor networks, sensor position information has important value in network protocols and collaborative detection. However, many challenges were introduced in positioning sensor nodes due to the complexity of the underwater environment. Aiming at the problem of the stratification effect of underwater acoustic waves, the long propagation delay of messages, as well as the mobility of sensor nodes, a mobile target localization scheme for underwater wireless sensor network is proposed based on iterative tracing. Four modules are established in the mobile target localization based on iterative tracing: the data collection and rough position estimation, the estimation and compensation of propagation delay, the node localization, and the iteration. The deviation of distance estimation due to the assumption that acoustic waves propagate along straight lines in an underwater environment is compensated by the mobile target localization based on iterative tracing, and weighted least squares estimation method is used to perform linear regression. Moreover, an interacting multiple model algorithm is put forward to reduce the positioning error caused by the mobility of sensor nodes, and the two services of node time synchronization and localization assist each other during the iteration to improve the accuracy of both parties. The simulation results show that the proposed scheme can achieve higher localization accuracy than the similar schemes, and the positioning errors caused by the above three problems can be reduced effectively.

scholarly journals Underwater Wireless Sensor Networks: A Review of Recent Issues and Challenges

2019 ◽  
Vol 2019 ◽  
pp. 1-20 ◽  
Author(s):  
Khalid Mahmood Awan ◽  
Peer Azmat Shah ◽  
Khalid Iqbal ◽  
Saira Gillani ◽  
Waqas Ahmad ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Access Control ◽  
Propagation Delay ◽  
Wireless Sensor ◽  
Media Access Control ◽  
Underwater Sensor Networks ◽  
Underwater Wireless Sensor Networks ◽  
Media Access ◽  
Limited Bandwidth

Underwater Wireless Sensor Networks (UWSNs) contain several components such as vehicles and sensors that are deployed in a specific acoustic area to perform collaborative monitoring and data collection tasks. These networks are used interactively between different nodes and ground-based stations. Presently, UWSNs face issues and challenges regarding limited bandwidth, high propagation delay, 3D topology, media access control, routing, resource utilization, and power constraints. In the last few decades, research community provided different methodologies to overcome these issues and challenges; however, some of them are still open for research due to variable characteristics of underwater environment. In this paper, a survey of UWSN regarding underwater communication channel, environmental factors, localization, media access control, routing protocols, and effect of packet size on communication is conducted. We compared presently available methodologies and discussed their pros and cons to highlight new directions of research for further improvement in underwater sensor networks.

scholarly journals DIEER: Delay-Intolerant Energy-Efficient Routing with Sink Mobility in Underwater Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3467
Author(s):  
Kamran Latif ◽  
Nadeem Javaid ◽  
Imdad Ullah ◽  
Zeeshan Kaleem ◽  
Zafar Abbas Malik ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Data Dissemination ◽  
Propagation Delay ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks ◽  
Energy Efficient Routing ◽  
Packet Delivery

Underwater Wireless Sensor Networks (UWSNs) are an enabling technology for many applications in commercial, military, and scientific domains. In some emergency response applications of UWSN, data dissemination is more important, therefore these applications are handled differently as compared to energy-focused approaches, which is only possible when propagation delay is minimized and packet delivery at surface sinks is assured. Packet delivery underwater is a serious concern because of harsh underwater environments and the dense deployment of nodes, which causes collisions and packet loss. Resultantly, re-transmission causes energy loss and increases end-to-end delay ( D E 2 E ). In this work, we devise a framework for the joint optimization of sink mobility, hold and forward mechanisms, adoptive depth threshold ( d t h ) and data aggregation with pattern matching for reducing nodal propagation delay, maximizing throughput, improving network lifetime, and minimizing energy consumption. To evaluate our technique, we simulate the three-dimensional (3-D) underwater network environment with mobile sink and dense deployments of sensor nodes with varying communication radii. We carry out scalability analysis of the proposed framework in terms of network lifetime, throughput, and packet drop. We also compare our framework to existing techniques, i.e., Mobicast and iAMCTD protocols. We note that adapting varying d t h based on node density in a range of network deployment scenarios results in a reduced number of re-transmissions, good energy conservation, and enhanced throughput. Furthermore, results from extensive simulations show that our proposed framework achieves better performance over existing approaches for real-time delay-intolerant applications.

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