Titlebook: Wireless Sensor Networks; 5th European Confere Roberto Verdone Conference proceedings 2008 Springer-Verlag Berlin Heidelberg 2008 Bluetooth

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Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networksly may be detected even if individual sensor readings were within their thresholds. The presented Bayesian approach to spatiotemporal anomaly detection is applicable to a wide range of sensor networks.

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Network-Coding-Based Cooperative Transmission in Wireless Sensor Networks: Diversity-Multiplexing Trhe outage probability result when the network-coding-based adaptive protocol is implemented. Then, based on the approximate probability result, a diversity-multiplexing tradeoff is studied; the result shows that this protocol performs similar to an amplify-and-forward protocol. Next, for the various

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FiGaRo: Fine-Grained Software Reconfiguration for Wireless Sensor Networkscitly with component dependencies and version constraints, as well as select precisely the subset of nodes targeted by reconfiguration, leaving the others unaltered. We show that our run-time support imposes a very limited processing and memory overhead, while the communication overhead lies within

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Clustering-Based Minimum Energy Wireless ,-Connected ,-Covered Sensor Networksder detection and tracking, require the design of .-covered WSNs, which are densely in nature and where each location in a monitored field is . (or .) by at least . active sensors. With duty-cycling, sensors can be turned . or . according to a scheduling protocol, thus reducing the number of active

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Activity Recognition from On-Body Sensors: Accuracy-Power Trade-Off by Dynamic Sensor Selectiondesirable while optimizing power consumption to ensure the system’s wearability. In this paper, we investigate the benefits of dynamic sensor selection in order to use efficiently available energy while achieving a desired activity recognition accuracy. For this purpose we introduce and characterize

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