Selectivity Estimation Without the Attribute Value Independence Assumption
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Adaptive filters for continuous queries over distributed data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Communication-efficient distributed monitoring of thresholded counts
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
A geometric approach to monitoring threshold functions over distributed data streams
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Detecting change in data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Algorithms for distributed functional monitoring
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Efficient Constraint Monitoring Using Adaptive Thresholds
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
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Motivated by applications like sensor, peer to peer, ad hoc networks there has been growing interest in monitoring large scale distributed systems. In these applications typically we wish to monitor a global system condition which is defined as a function of local network elements parameters. In this paper, we study Aggregate Threshold Queries in sensor networks, which are used to detect when an aggregate value of all sensor measurements crosses a predetermined threshold. The major constraint in designing monitoring applications is reducing the amount of communication burden which is the dominant factor of energy drain in wireless sensor networks. In this study, we address the aggregate threshold monitoring problem by proposing a distributed algorithm to set local thresholds on each sensor node so that only those sensors whose measurements crosses their local thresholds commence communication. We adopt the FPTAS optimization formulation of the problem [1] and propose a distributed algorithm as the solution to the problem. Simulation results demonstrate the validity of the proposed distributed algorithm in attaining very close performance as the centralized scheme.