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

@article{Gedik2007ASAPAA,
  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},
  year={2007},
  volume={18},
  pages={1766-1783}
}
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
Highly Influential
This paper has highly influenced 15 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 195 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 129 extracted citations

195 Citations

0102030'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 195 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 26 references

Similar Papers

Loading similar papers…