Improving Low-Energy Adaptive Clustering Hierarchy Architectures with Sleep Mode for Wireless Sensor Networks

@article{Chen2014ImprovingLA,
  title={Improving Low-Energy Adaptive Clustering Hierarchy Architectures with Sleep Mode for Wireless Sensor Networks},
  author={Young-Long Chen and Neng-Chung Wang and Yi-Nung Shih and Jia-Sheng Lin},
  journal={Wireless Personal Communications},
  year={2014},
  volume={75},
  pages={349-368}
}
A wireless sensor network (WSN) is composed of sensor nodes whose energy is battery-powered. Therefore, the energy is limited. This paper aims to improve the energy efficiency of sensor nodes in order to extend the lifetime of WSNs. In this paper, we propose four new hierarchical clustering topology architectures: random cluster head and sub-cluster head (RCHSCH), random cluster head and max energy sub-cluster head (RCHMESCH), random cluster head and sub-cluster head with sleep mode (RCHSCHSM… CONTINUE READING