1. DMSN 2004:
Toronto,
Canada
Alexandros Labrinidis, Samuel Madden (Eds.):
Proceedings of the 1st Workshop on Data Management for Sensor Networks, in conjunction with VLDB, DMSN 2004, Toronto, Canada, August 30, 2004.
ACM International Conference Proceeding Series 72 ACM 2004
Statistical and probabilistic techniques
- Fatih Emekçi, Sezai Emre Tuna, Divyakant Agrawal, Amr El Abbadi:
BINOCULAR: a system monitoring framework.
5-9
- Ankur Jain, Edward Y. Chang:
Adaptive sampling for sensor networks.
10-16
- Vibhore Kumar, Brian F. Cooper, Shamkant B. Navathe:
Predictive filtering: a learning-based approach to data stream filtering.
17-23
- Nesime Tatbul, Mark Buller, Reed Hoyt, Steve Mullen, Stanley B. Zdonik:
Confidence-based data management for personal area sensor networks.
24-31
Algorithms for in-network query processing
Networking support
- Niki Trigoni, Yong Yao, Alan J. Demers, Johannes Gehrke, Rajmohan Rajaraman:
WaveScheduling: energy-efficient data dissemination for sensor networks.
48-57
- Qiong Luo, Lionel M. Ni, Bingsheng He, Hejun Wu, Wenwei Xue:
MEADOWS: modeling, emulation, and analysis of data of wireless sensor networks.
58-67
- Vladimir Zadorozhny, Panos K. Chrysanthis, Prashant Krishnamurthy:
A framework for extending the synergy between MAC layer and query optimization in sensor networks.
68-77
Programming languages and architectures
Spatio-temporal techniques
Copyright © Fri Mar 12 17:09:51 2010
by Michael Ley (ley@uni-trier.de)