Energy-efficient monitoring of extreme values in sensor networks

  • Authors:
  • Adam Silberstein;Kamesh Munagala;Jun Yang

  • Affiliations:
  • Duke University, Durham, NC;Duke University, Durham, NC;Duke University, Durham, NC

  • Venue:
  • Proceedings of the 2006 ACM SIGMOD international conference on Management of data
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Monitoring extreme values (MAX or MIN) is a fundamental problem in wireless sensor networks (and in general, complex dynamic systems). This problem presents very different algorithmic challenges from aggregate and selection queries, in the sense that an individual node cannot by itself determine its inclusion in the query result. We present novel query processing algorithms for this problem, with the goal of minimizing message traffic in the network. These algorithms employ a hierarchy of local constraints, or thresholds, to leverage network topology such that message-passing is localized. We evaluate all algorithms using simulated and real-world data to study various trade-offs.