STAC: a spatio-temporal approximate method in data collection applications

This publication has 29 references indexed in Scilit:

• CUIDATS: An RFID–WSN hybrid monitoring system for smart health care environments
  Future Generation Computer Systems, 2018
• A sleep scheduling approach based on learning automata for WSN partialcoverage
  Journal of Network and Computer Applications, 2017
• Compressive network coding for wireless sensor networks: Spatio-temporal coding and optimization design
  Computer Networks, 2016
• A New Energy Prediction Algorithm for Energy-Harvesting Wireless Sensor Networks With Q-Learning
  IEEE Access, 2016
• Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications
  Information Sciences, 2016
• Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges
  Computers and Electronics in Agriculture, 2015
• Distributed evolutionary algorithms and their models: A survey of the state-of-the-art
  Applied Soft Computing, 2015
• The Internet of Things for Health Care: A Comprehensive Survey
  IEEE Access, 2015
• Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling
  Sensors, 2014
• Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman Filter
  Computer Communications, 2011