System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Lightweight detection and classification for wireless sensor networks in realistic environments
Proceedings of the 3rd international conference on Embedded networked sensor systems
Event-to-sink reliable transport in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Using smart triggers for improved user performance in 802.11 wireless networks
Proceedings of the 4th international conference on Mobile systems, applications and services
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Avrora: scalable sensor network simulation with precise timing
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
MANTIS OS: an embedded multithreaded operating system for wireless micro sensor platforms
Mobile Networks and Applications
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Proceedings of the 4th international conference on Embedded networked sensor systems
Underground structure monitoring with wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Correlation-based data dissemination in traffic monitoring sensor networks
CoNEXT '06 Proceedings of the 2006 ACM CoNEXT conference
Resource aware programming in the Pixie OS
Proceedings of the 6th ACM conference on Embedded network sensor systems
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A novel event detector algorithm, which points out in-door acoustic human activities, for constrained wireless sensor node hardware is proposed in the present paper. In our approach, event detections are computed from the signal energy statistics change rate at two instants separated by an (L - 1) samples interval. The experimentation is run in two phases: (i) the detector characterisation and tuning seek detector configurations that enable event detections from three acoustic human activities: closing a door, dropping a plastic bottle, and clapping; (ii) event detector validation tests measure the reliability to signal events from general acoustic activities, people talking particularly. The test results, which included emulated node hardware, actual sensor node, and a one-hop WSN, demonstrate the detector implementations signaled successfully events. And for the WSN, we found that event detections decay in a nonlinear fashion as the distance d, between the acoustic signal source and the sensor, is increased.