@inproceedings{fd66c510bd2d43eb887b8f5079de9203,
title = "POT: An efficient top-k monitoring method for spatially correlated sensor readings",
abstract = "In this paper, we discuss the top-k monitoring over sensor networks. Since sensor readings are usually correlated with location, top-k nodes are clustered at some areas. Motivated by such a characteristic, we propose a novel tree structure named partial ordered tree(POT) to efficiently maintain clusters of the highest readings. By using POTs, only candidate nodes which might be included in top-k result are evaluated for query processing. Through simulation experiments, we evaluate the performance of the POT method in comparison with conventional methods.",
keywords = "Sensor networks, Top-k monitoring",
author = "Yonghyun Cho and Jihoon Son and Chung, {Yon Dohn}",
year = "2008",
doi = "10.1145/1402050.1402053",
language = "English",
isbn = "9781605582849",
series = "5th International Workshop on Data Management for Sensor Networks, DMSN'08, In Conjunction with the 34th International Conference on Very Large Data Bases",
pages = "8--13",
booktitle = "5th International Workshop on Data Management for Sensor Networks, DMSN'08, In Conjunction with the 34th International Conference on Very Large Data Bases",
note = "5th International Workshop on Data Management for Sensor Networks, DMSN'08, In Conjunction with the 34th International Conference on Very Large Data Bases ; Conference date: 24-08-2008 Through 24-08-2008",
}