An LSTM-based distributed scheme for data transmission reduction of IoT systems

A Deep Learning approach for Path Prediction in a Location-based IoT system

(2020) Francesco Piccialli et al.   Pervasive and Mobile Computing

Research on Gas Concentration Prediction Models Based on LSTM Multidimensional Time Series

(2019) Tianjun Zhang et al.   Energies

Data Transmission Reduction Schemes in WSNs for Efficient IoT Systems

(2019) Abdallah Jarwan et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

An Energy-Efficient Dual Prediction Scheme Using LMS Filter and LSTM in Wireless Sensor Networks for Environment Monitoring

(2019) Tongxin Shu et al.   IEEE Internet of Things Journal

Quality-Based and Energy-Efficient Data Communication for the Internet of Things Networks

(2019) Yasmin Fathy et al.   IEEE Internet of Things Journal

Data reduction in a cloud-based AMI framework with service-replication

(2018) Marwa F. Mohamed et al.   COMPUTERS & ELECTRICAL ENGINEERING

Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

(2018) He Li et al.   IEEE NETWORK

A review of Internet of Things for smart home: Challenges and solutions

(2017) Biljana L. Risteska Stojkoska et al.   JOURNAL OF CLEANER PRODUCTION

Comparison of Different Data Aggregation Techniques in Distributed Sensor Networks

(2017) Hassan Harb et al.   IEEE Access

A Survey About Prediction-Based Data Reduction in Wireless Sensor Networks

(2016) Gabriel Martins Dias et al.   ACM COMPUTING SURVEYS

Fog Computing: Helping the Internet of Things Realize Its Potential

(2016) Amir Vahid Dastjerdi et al.   COMPUTER

Rate-Distortion Balanced Data Compression for Wireless Sensor Networks

(2016) Mohammad Abu Alsheikh et al.   IEEE SENSORS JOURNAL

Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications

(2016) Mou Wu et al.   INFORMATION SCIENCES

Internet of Things and Big Data Analytics for Smart and Connected Communities

(2016) Yunchuan Sun et al.   IEEE Access

Learning in Nonstationary Environments: A Survey

(2015) Gregory Ditzler et al.   IEEE Computational Intelligence Magazine

A High Efficient and Real Time Data Aggregation Scheme for WSNs

(2015) Tao Du et al.   International Journal of Distributed Sensor Networks

Automatic ARIMA modeling-based data aggregation scheme in wireless sensor networks

(2013) Guorui Li et al.   EURASIP Journal on Wireless Communications and Networking

A spatial correlation aware algorithm to perform efficient data collection in wireless sensor networks

(2011) Leandro A. Villas et al.   Ad Hoc Networks

On field calibration of an electronic nose for benzene estimation in an urban pollution monitoring scenario

(2007) S. De Vito et al.   SENSORS AND ACTUATORS B-CHEMICAL