Data Gathering Approaches for Underwater Sensor Networks

2008 ◽  
Author(s):  
Chongqing Zhang ◽  
Ruisheng Jia ◽  
Sheng Fang
Keyword(s):  
Sensor Networks ◽  
Data Gathering ◽  
Underwater Sensor Networks

scholarly journals A Performance Simulation Tool for the Analysis of Data Gathering in Both Terrestrial and Underwater Sensor Networks

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 4190-4208 ◽  
Author(s):  
Mukhtar Ghaleb ◽  
Emad Felemban ◽  
Shamala Subramaniam ◽  
Adil A. Sheikh ◽  
Saad Bin Qaisar
Keyword(s):  
Sensor Networks ◽  
Data Gathering ◽  
Underwater Sensor Networks ◽  
Simulation Tool ◽  
Performance Simulation ◽  
A Performance

scholarly journals Mobile Data Gathering With Hop-Constrained Clustering in Underwater Sensor Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 21118-21132 ◽  
Author(s):  
Seyed Mohammad Ghoreyshi ◽  
Alireza Shahrabi ◽  
Tuleen Boutaleb ◽  
Mohsen Khalily
Keyword(s):  
Sensor Networks ◽  
Data Gathering ◽  
Underwater Sensor Networks ◽  
Constrained Clustering ◽  
Mobile Data ◽  
Mobile Data Gathering

scholarly journals An AUV-Aided Cross-Layer Mobile Data Gathering Protocol for Underwater Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4813
Author(s):  
Faisal Abdulaziz Alfouzan ◽  
Seyed Mohammad Ghoreyshi ◽  
Alireza Shahrabi ◽  
Mahsa Sadeghi Ghahroudi
Keyword(s):  
Sensor Networks ◽  
Network Performance ◽  
Data Gathering ◽  
Mac Protocols ◽  
Cross Layer ◽  
Delivery Ratio ◽  
Underwater Sensor Networks ◽  
Mobile Data ◽  
Packet Delivery ◽  
Mobile Data Gathering

Underwater sensor networks (UWSNs) have recently attracted much attention due to their ability to discover and monitor the aquatic environment. However, acoustic communication has posed some significant challenges, such as high propagation delay, low available bandwidth, and high bit error rate. Therefore, proposing a cross-layer protocol is of high importance to the field to integrate different communication functionalities (i.e, an interaction between data link layer and network layer) to interact in a more reliable and flexible manner to overcome the consequences of applying acoustic signals. In this paper, a novel Cross-Layer Mobile Data gathering (CLMD) scheme for Underwater Sensor Networks (UWSNs) is presented to improve the performance by providing the interaction between the MAC and routing layers. In CLMD, an Autonomous Underwater Vehicle (AUV) is used to periodically visit a group of clusters which are responsible for data collection from members. The communications are managed by using a distributed cross-layer solution to enhance network performance in terms of packet delivery and energy saving. The cluster heads are replaced with other candidate members at the end of each operational phase to prolong the network lifetime. The effectiveness of CLMD is verified through an extensive simulation study which reveals the performance improvement in the energy-saving, network lifetime, and packet delivery ratio with varying number of nodes. The effects of MAC protocols are also studied by studying the network performance under various MAC protocols in terms of packet delivery ratio, goodput, and energy consumption with varying density of nodes.

A Review of Recent Issues and Challenges of Fault Management Techniques in Underwater Wireless Sensor Network

2021 ◽  
pp. 101-119
Author(s):  
Nonita Sharma ◽  
Krishna Pal Sharma ◽  
Rajneesh Rani
Keyword(s):  
Sensor Networks ◽  
Data Gathering ◽  
Fault Management ◽  
Wireless Sensor ◽  
Underwater Sensor Networks ◽  
Media Access ◽  
Pros And Cons ◽  
Management Techniques ◽  
New Research ◽  
3D Topology

Underwater wireless sensor networks (UWSNs) are deployed to conduct cooperative surveillance and data gathering tasks in an acoustic region. Different nodes and ground-based stations use these networks interactively. UWSNs are currently facing problems and difficulties related to restricted bandwidth, substantial delay in propagation, 3D topology, control of media access, routing, use of resources, fault management, and energy limitations. The research community has given various methodologies over the past few decades to address these problems and challenges; however, owing to varying attributes of the underwater environment, some of them are still open to research. In this chapter, a survey of fault management techniques in UWSN regarding types of faults and their classification, environmental factors influencing the identification of faults, fault detection schemes, issues, and future directions is performed. This chapter outlines available fault management techniques and their pros and cons for further advancement in underwater sensor networks to highlight new research trends.

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