Energy-Efficient Clustering Using Correlation and Random Update Based on Data Change Rate for Wireless Sensor Networks

@article{Wang2016EnergyEfficientCU,
  title={Energy-Efficient Clustering Using Correlation and Random Update Based on Data Change Rate for Wireless Sensor Networks},
  author={Fan Wang and Sining Wu and Kunpeng Wang and Xiaopeng Hu},
  journal={IEEE Sensors Journal},
  year={2016},
  volume={16},
  pages={5471-5480}
}
This paper presents an energy-efficient clustering method using random update (EECRU) for wireless sensor networks. We divide the network into preliminary clusters depending on the temporal and spatial correlation of sensor data. These clusters are then updated by applying a dynamic update policy and a cluster head rotation scheme, where the change of… CONTINUE READING