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SSDBM
2005
IEEE
122views Database» more  SSDBM 2005»
13 years 10 months ago
Detection and Tracking of Discrete Phenomena in Sensor-Network Databases
This paper introduces a framework for Phenomena Detection and Tracking (PDT, for short) in sensor network databases. Examples of detectable phenomena include the propagation over ...
Mohamed H. Ali, Mohamed F. Mokbel, Walid G. Aref, ...
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
13 years 10 months ago
Scalability Management in Sensor-Network PhenomenaBases
A phenomenon appears in a sensor network when a group of sensors persist to generate similar behavior over a period of time. PhenomenaBases (or databases of phenomena) are equippe...
Mohamed H. Ali, Walid G. Aref, Ibrahim Kamel
SSDBM
2006
IEEE
111views Database» more  SSDBM 2006»
13 years 10 months ago
Efficient Data Harvesting for Tracing Phenomena in Sensor Networks
Many publisWsubscribe systems have been built using wireless sensor networks, WSNs, deployedfor real-world environmentaldata collection, securitymonitoring,and object tracking. Ho...
Adesola Omotayo, Moustafa A. Hammad, Ken Barker
BTW
2009
Springer
127views Database» more  BTW 2009»
13 years 11 months ago
In-Network Detection of Anomaly Regions in Sensor Networks with Obstacles
: In the past couple of years, sensor networks have evolved to a powerful infrastructure component for monitoring and tracking events and phenomena in many application domains. An ...
Conny Franke, Marcel Karnstedt, Daniel Klan, Micha...
VLDB
2005
ACM
87views Database» more  VLDB 2005»
13 years 10 months ago
NILE-PDT: A Phenomenon Detection and Tracking Framework for Data Stream Management Systems
In this demo, we present Nile-PDT, a Phenomenon Detection and Tracking framework using the Nile data stream management system. A phenomenon is characterized by a group of streams ...
Mohamed H. Ali, Walid G. Aref, Raja Bose, Ahmed K....