Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications
Environmental monitoring is one of the most important applications of wireless sensor
networks (WSNs), which usually requires a lifetime of several months, or even years …
networks (WSNs), which usually requires a lifetime of several months, or even years …
Data reduction in wireless sensor networks: A hierarchical LMS prediction approach
In wireless sensor networks (WSNs), due to the restriction of scarce energy, it remains an
open challenge how to schedule the data communications between the sensor nodes and …
open challenge how to schedule the data communications between the sensor nodes and …
An energy-efficient dual prediction scheme using LMS filter and LSTM in wireless sensor networks for environment monitoring
Environmental monitoring is a practical application where a wireless sensor network (WSN)
may be utilized effectively. However, the energy consumption issues have become a major …
may be utilized effectively. However, the energy consumption issues have become a major …
A cluster prediction model-based data collection for energy efficient wireless sensor network
Wireless sensor networks (WSN) are expected to cover the major portion of the earth's
surface in the coming years. In the era of IoT, the WSN is the major data collection …
surface in the coming years. In the era of IoT, the WSN is the major data collection …
Hierarchical data aggregation using compressive sensing (HDACS) in WSNs
Energy efficiency is one of the key objectives in data gathering in wireless sensor networks
(WSNs). Recent research on energy-efficient data gathering in WSNs has explored the use …
(WSNs). Recent research on energy-efficient data gathering in WSNs has explored the use …
Compressed sensing signal and data acquisition in wireless sensor networks and internet of things
The emerging compressed sensing (CS) theory can significantly reduce the number of
sampling points that directly corresponds to the volume of data collected, which means that …
sampling points that directly corresponds to the volume of data collected, which means that …
Prediction or not? An energy-efficient framework for clustering-based data collection in wireless sensor networks
H Jiang, S Jin, C Wang - IEEE Transactions on parallel and …, 2010 - ieeexplore.ieee.org
For many applications in wireless sensor networks (WSNs), users may want to continuously
extract data from the networks for analysis later. However, accurate data extraction is difficult …
extract data from the networks for analysis later. However, accurate data extraction is difficult …
A survey about prediction-based data reduction in wireless sensor networks
GM Dias, B Bellalta, S Oechsner - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
One of the main characteristics of Wireless Sensor Networks (WSNs) is the constrained
energy resources of their wireless sensor nodes. Although this issue has been addressed in …
energy resources of their wireless sensor nodes. Although this issue has been addressed in …
CCS: Energy-efficient data collection in clustered wireless sensor networks utilizing block-wise compressive sensing
In this paper, we propose an integration of compressive sensing (CS) and clustering in
WSNs utilizing block diagonal matrices (BDMs) as the measurement matrices. Such an …
WSNs utilizing block diagonal matrices (BDMs) as the measurement matrices. Such an …
Data transmission reduction schemes in WSNs for efficient IoT systems
Spatial and temporal correlation among the generated traffic in wireless sensor networks
(WSNs) can be exploited in reducing the energy consumption of continuous sensor data …
(WSNs) can be exploited in reducing the energy consumption of continuous sensor data …