Zakaria Kasmi

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Distributed event detection in wireless sensor networks is an approach to increase event recognition accuracy by fusing correlated parts of events, recognized by multiple sensor nodes. Events range from simple threshold detection to complex events requiring pattern analysis. Our previous deployment in this area of research investigates the possibility to(More)
  • Norman Dziengel, Marco Ziegert, Stephan Adler, Zakaria Kasmi, Stefan Pfeiffer, Jochen Schiller
  • 2011
—Fences are used all over the world to protect areas against unauthorized access. While most fences meet these requirements by building a physical and psychological barrier against intruders, this is not sufficient for areas of particular interest like restricted areas of an airport or construction sites with expensive goods. To detect intruders we(More)
Event detection in wireless sensor networks is a sophisticated method for processing sampled data directly on the sensor nodes, thereby reducing the need for multi-hop communication with the base station of the network. In contrast to application-agnostic compression or aggregation techniques, event detection pushes application-level knowledge into the(More)
Decentralized magnetic indoor localization is a sophisticated method for processing sampled magnetic data directly on a mobile station (MS), thereby decreasing or even avoiding the need for communication with the base station. In contrast to central-oriented positioning systems, which transmit raw data to a base station, decentralized indoor localization(More)
Sensor networks consist of small sensing devices that collaboratively fulfill a sensing task, such as monitoring the soil in an agricultural field or measuring vital signs in a marathon runner. To avoid cumbersome and expensive cabling, nodes in a sensor network are powered by batteries and communicate wirelessly. As a consequence of the latter, a sensor(More)
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