scholarly journals WDAT-OMS: A two-level scheme for efficient data gathering in mobile-sink wireless sensor networks using compressive sensing theory

2020 ◽  
Vol 14 (11) ◽  
pp. 1826-1837
Author(s):  
Shima Pakdaman Tirani ◽  
Avid Avokh ◽  
Sahebeh Azar
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Level Scheme ◽  
Data Gathering ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Efficient Data

An image processing inspired mobile sink solution for energy efficient data gathering in wireless sensor networks

2014 ◽  
Vol 21 (1) ◽  
pp. 227-249 ◽  
Author(s):  
Charalampos Konstantopoulos ◽  
Basilis Mamalis ◽  
Grammati Pantziou ◽  
Vasileios Thanasias
Keyword(s):  
Image Processing ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Data Gathering ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Efficient Data

scholarly journals Coalition Formation Based Compressive Sensing in Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2331 ◽  
Author(s):  
Alireza Masoum ◽  
Nirvana Meratnia ◽  
Paul Havinga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Energy Efficient ◽  
Network Performance ◽  
Data Gathering ◽  
Data Accuracy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Efficient Data

Compressive sensing originates in the field of signal processing and has recently become a topic of energy-efficient data gathering in wireless sensor networks. In this paper, we propose an energy efficient distributed compressive sensing solution for sensor networks. The proposed solution utilizes sparsity distribution of signals to group sensor nodes into several coalitions and then implements localized compressive sensing inside coalitions. This solution improves data-gathering performance in terms of both data accuracy and energy consumption. The approach curbs both data-transmission costs and number of measurements. Coalition-based data gathering cuts transmission costs, and the number of measurements is reduced by scheduling sensor nodes and adjusting their sampling frequency. Our simulation showed that our approach enhances network performance by minimizing energy cost and improving data accuracy.

scholarly journals Implimentation of Novel Framework For Efficient Data Gathering With Multiple Mobile Sink Sensor Nodes In WSN

2021 ◽  
Author(s):  
Saim Abassi ◽  
Irfan Anis ◽  
Muhammad Kashif ◽  
Usman Bashir Tayab
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Transmission ◽  
Data Gathering ◽  
Mobile Sink ◽  
Experimental Results ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Great Consideration ◽  
Efficient Data

Abstract In couple of years, the great research towards oceanographic data transmission and submerged impurity the Submerged Wireless Sensor Networks are getting great consideration. SWSN includes issues such as link sustainability, time to begin interaction, data loss due to real-time transmission attempts and transmission range. The aforementioned complications have been approached through different routing configurations, but none of these can handle transmission efficiently. In this paper we proposed a framework of network in depth based data acquisition system with simulation and experimental results. The system model has been efficiently transmit data (Turbidity, Temperature and PH) in a region (Indus River) using the smart cluster sensor nodes and acquires result of 6.5 to 31 N.T.U of turbidity. The experimental results proved that the projected work improves the performance of the data transmission in Submerged Wireless Sensor Networks.

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