scholarly journals Data-Gathering Scheme Using AUVs in Large-Scale Underwater Sensor Networks: A Multihop Approach

Sensors ◽  
2016 ◽  
Vol 16 (10) ◽  
pp. 1626 ◽  
Author(s):  
Jawaad Khan ◽  
Ho-Shin Cho
Keyword(s):  
Sensor Networks ◽  
Large Scale ◽  
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 ICENET: An Information Centric Protocol for Big Data Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 930 ◽  
Author(s):  
Rosana Lachowski ◽  
Marcelo Pellenz ◽  
Edgard Jamhour ◽  
Manoel Penna ◽  
Glauber Brante ◽  
...  
Keyword(s):  
Big Data ◽  
Sensor Networks ◽  
Large Scale ◽  
Data Gathering ◽  
Essential Element ◽  
State Recovery ◽  
Periodic Data ◽  
Soft State ◽  
Lossy Links ◽  
Large Scale Networks

Wireless Sensors Networks (WSNs) are an essential element of the Internet of Things (IoT), and are the main producers of big data. Collecting a huge amount of data produced by a resource-constrained network is a very difficult task, presenting several challenges. Big data gathering involves not only periodic data sensing, but also the forwarding of queries and commands to the network. Conventional network protocols present unfeasible strategies for large-scale networks and may not be directly applicable to IoT environments. Information-Centric Networking is a revolutionary paradigm that can overcome such big data gathering challenges. In this work, we propose a soft-state information-centric protocol, ICENET (Information Centric protocol for sEnsor NETworks), for big data gathering in large-scale WSNs. ICENET can efficiently propagate user queries in a wireless network by using a soft-state recovery mechanism for lossy links. The scalability of our solution is evaluated in different network scenarios. Results show that the proposed protocol presents approximately 84% less overhead and a higher data delivery rate than the CoAP (Constrained Application Protocol), which is a popular protocol for IoT environments.

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
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