ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks

  title={ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks},
  author={Bugra Gedik and Ling Liu and Philip S. Yu},
  journal={IEEE Transactions on Parallel and Distributed Systems},
One of the most prominent and comprehensive ways of data collection in sensor networks is to periodically extract raw sensor readings. This way of data collection enables complex analysis of data, which may not be possible with in-network aggregation or query processing. However, this flexibility in data analysis comes at the cost of power consumption. In this paper, we develop ASAP, which is an adaptive sampling approach to energy-efficient periodic data collection in sensor networks. The main… CONTINUE READING
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