Sprinkler: A Reliable and Energy Efficient Data Dissemination Service for Wireless Embedded Devices
RTSS '05 Proceedings of the 26th IEEE International Real-Time Systems Symposium
Achieving Real-Time Target Tracking UsingWireless Sensor Networks
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
Simulation Architecture for Data Processing Algorithms in Wireless Sensor Networks
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
MoteLab: a wireless sensor network testbed
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Mirage: a microeconomic resource allocation system for sensornet testbeds
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Survey: detection, recognition and source localization of odor
WSEAS TRANSACTIONS on SYSTEMS
WSEAS Transactions on Systems and Control
Detection and tracking of an explosives-carrying human with odor-sensor based multisensor networks
ICOSSSE'07 Proceedings of the 6th WSEAS international conference on System science and simulation in engineering
Chemical Plume Source Localization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper introduces a multipurpose wireless sensor network (WSN) platform for education and research. The WSN platform is designed with state-of-the-art multiple sensor modules with high processing capability and can support a variety of research and education projects in sensor/data fusion and target tracking algorithms. The modules comprise of odor sensors in combination with different motion, sound, and temperature sensors to address multi-level research and education projects in plume source localization (for odor and/or temperature), and nonodor based target detection and tracking, as well as efficient communication strategies in WSNs. A novelty of the platform is that it offers a combination of odor, and non-odor based sensors, which facilitate research in mobile odor source tracking. The platform has been established as part of a MS thesis project, and is currently under development with the addition of odor sensors to allow for an increased variety of graduate studies as thesis projects and in sensor fusion courses.