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In conjunction with 33rd international conference on very large data bases industrial sponsor: (2007).
| Content Provider | CiteSeerX |
|---|---|
| Abstract | Sensor networks enable an unprecedented level of access to the physical world, and hold tremendous potential to revolutionize many application domains. Research on sensor networks spans many areas of computer science, and there are now major conferences, e.g., IPSN and SenSys, devoted to sensor networks. However, there is no exclusive forum for discussion on early and innovative work on data management in sensor networks. The International Workshop on Data Management for Sensor Networks (DMSN), inaugurated in 2004, aims to fill this significant gap in the database and sensor network communities. Building on the successes of the three previous DMSN workshops (2004–6), DMSN 2007 brings together researchers working on all aspects of sensor data management: from data processing in networks of remote, wireless, resource-constrained sensors to managing heterogeneous, noisy, and sometimes sensitive sensor data in databases. The resource-constrained, lossy, noisy, distributed, and remote nature of sensor networks means that traditional database techniques often cannot be applied without significant re-tooling. Challenges associated with acquiring and processing large-scale, heterogeneous sets of live sensor data also call for novel data management techniques. Finally, in many applications, collecting sensor data raises important privacy and security concerns that require new protection and anonymization techniques. As the field of sensor networks continues to develop, we have expanded the scope of DMSN 2007 from previous |
| File Format | |
| Publisher Date | 2007-01-01 |
| Access Restriction | Open |
| Subject Keyword | International Workshop Exclusive Forum Many Application Domain New Protection Traditional Database Technique Remote Nature Many Application Anonymization Technique Significant Re-tooling Resource-constrained Sensor Physical World Computer Science Security Concern Many Area Sensitive Sensor Data Data Management Live Sensor Data Unprecedented Level Major Conference Significant Gap Innovative Work Important Privacy Sensor Network Community Large Data Base Industrial Sponsor International Conference Sensor Network Heterogeneous Set Novel Data Management Technique Sensor Data Management Previous Dmsn Workshop Sensor Data |
| Content Type | Text |
