A Decentralized Quality Aware Adaptive Sampling Strategy in Wireless Sensor Networks

@article{Masoum2012ADQ,
  title={A Decentralized Quality Aware Adaptive Sampling Strategy in Wireless Sensor Networks},
  author={Alireza Masoum and Nirvana Meratnia and Paul J. M. Havinga},
  journal={2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing},
  year={2012},
  pages={298-305}
}
Since WSNs suffer from sever resource constraints, in terms of energy, memory and processing, temporal, spatial and spatio-temporal correlation among sensor data can be exploited by adaptive sampling approaches to find out an optimal sampling strategy, which reduces the number of sampling nodes and/or sampling rates while maintaining high data quality. In this paper, a quality aware decentralized adaptive sampling strategy is proposed which benefit from the data correlation for predicting… CONTINUE READING