- Program Chairs:
- Alexandros Labrinidis,
- Samuel Madden
The past few years have seen substantial amounts of computer science research on sensor networks. Other subfields have had a number of workshops on the topic (e.g., the Workshop on Wireless Sensor Networks and Applications (WSNA) in 2002 and 2003 and the Sensor Networks Protocols and Applications (SNPA) Workshop in 2002 and 2003, both of which are systems/networking focused). Furthermore, there are now at least two major conferences -- the Conference on Information Processing in Sensor Networks (IPSN), started in 2002, and the ACM Conference on Sensor Systems (SenSys), started in 2003. These conferences have published a small number of database papers, but there is no forum for discussion on early and innovative work on data management in sensor networks.We believe that the Workshop on Data Management for Sensor Networks (DMSN'04) fills a significant gap in the database community by bringing interested researchers together to identify research challenges and opportunities. Specifically, the workshop focuses on data processing and management in networks of remote, wireless, battery-powered sensing devices (sensor networks). The power-constrained, lossy, noisy, distributed, and remote nature of such networks means that traditional data management techniques often cannot be applied without significant re-tooling. Furthermore, new challenges associated with acquisition and processing of live sensor data mean that completely new database techniques must also be developed.The workshop represents a wide range of topics, including: data replication and consistency in noisy and lossy environments, database languages for sensor tasking, distributed data storage and indexing, energyefficient data acquisition and dissemination, in-network query processing, integration of sensor network data into traditional and streaming data management systems, networking support for data processing, techniques for managing loss, uncertainty, and noise, query optimization, and privacy protection for sensory data.As a response to the Call for Papers, the DMSN'04 workshop received 38 abstracts, of which 25 materialized as full papers by the submission deadline. During the review process, each paper was reviewed by at least three PC members or external reviewers, resulting in the acceptance of 15 papers.
Proceeding Downloads
BINOCULAR: a system monitoring framework
Recent advances in hardware technology facilitate applications requiring a large number of sensor devices, where each sensor device has computational, storage, and communication capabilities. However these sensors are subject to certain constraints such ...
Adaptive sampling for sensor networks
A distributed data-stream architecture finds application in sensor networks for monitoring environment and activities. In such a network, large numbers of sensors deliver continuous data to a central server. The rate at which the data is sampled at each ...
Predictive filtering: a learning-based approach to data stream filtering
Recent years have witnessed an increasing interest in filtering of distributed data streams, such as those produced by networked sensors. The focus is to conserve bandwidth and sensor battery power by limiting the number of updates sent from the source ...
Confidence-based data management for personal area sensor networks
The military is working on embedding sensors in a "smart uniform" that will monitor key biological parameters to determine the physiological status of a soldier. The soldier's status can only be determined accurately by combining the readings from ...
Approximately uniform random sampling in sensor networks
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates broadcast queries to all sensors and use in-network aggregation of responses ...
Optimization of in-network data reduction
We consider the in-network computation of approximate "big picture" summaries in bandwidth-constrained sensor networks. First we review early work on computing the Haar wavelet decomposition as a User-Defined Aggregate in a sensor query engine. We argue ...
WaveScheduling: energy-efficient data dissemination for sensor networks
Sensor networks are being increasingly deployed for diverse monitoring applications. Event data are collected at various sensors and sent to selected storage nodes for further in-network processing. Since sensor nodes have strong constraints on their ...
MEADOWS: modeling, emulation, and analysis of data of wireless sensor networks
In this position paper, we present MEADOWS, a software framework that we are building at HKUST for modeling, emulation, and analysis of data of wireless sensor networks. This project is motivated by the unique need of intertwining modeling, emulation, ...
A framework for extending the synergy between MAC layer and query optimization in sensor networks
Queries in sensor networks are expected to produce results in a timely manner and for long periods, as needed. This implies that sensor queries need to be optimized with respect to both response time and energy consumption. With these requirements in ...
Region streams: functional macroprogramming for sensor networks
Sensor networks present a number of novel programming challenges for application developers. Their inherent limitations of computational power, communication bandwidth, and energy demand new approaches to programming that shield the developer from low-...
StreamGlobe: adaptive query processing and optimization in streaming P2P environments
Recent research and development efforts show the increasing importance of processing data streams, not only in the context of sensor networks, but also in information retrieval networks. With the advent of various mobile devices being able to ...
Active rules for sensor databases
Recent years have witnessed a rapidly growing interest in query processing in sensor and actuator networks. This is mainly due to the increased awareness of query processing as the most appropriate computational paradigm for a wide range of sensor ...
A framework for spatio-temporal query processing over wireless sensor networks
Wireless sensor networks consist of nodes with the ability to measure, store, and process data, as well as to communicate wirelessly with nodes located in their wireless range. Users can issue queries over the network, e.g., retrieve information from ...
Mission-critical management of mobile sensors: or, how to guide a flock of sensors
This work addresses the problem of optimizing the deployment of sensors in order to ensure the quality of the readings of the value of interest in a given (critical) geographic region. As usual, we assume that each sensor is capable of reading a ...
KPT: a dynamic KNN query processing algorithm for location-aware sensor networks
An important type of spatial queries for sensor networks are K Nearest Neighbor (KNN) queries. Currently, research proposals for KNN query processing is based on index structures, which are typically expensive in terms of energy consumption. In addition,...
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| DMSN '09 | 16 | 6 | 38% |
| Overall | 16 | 6 | 38% |