A critical need for the military is the development and fielding of robust distributed wireless sensor networks (WSNs) that aid the U.S. forces to accurately detect, localize and identify commonly occurring battlefield sources. A versatile, scalable and easy to use distributed WSN development platform for high fidelity data acquisition and testing is needed that allows the developers to test out their data fusion algorithms and software. The system must support multiple sensing modalities including acoustic, seismic and IR. In this Phase II research, we will complete the development of: (a) new sensor-level hardware/software to provide flexible and configurable data sampling and synchronization, and offer adequate on-board processing and storage capabilities for low-level collaborative signal processing and high fidelity data acquisition; (b) network-level solutions that account for network connectivity and sensor/network health and supports various routing strategies and adoption of user-defined optimum sensor collaboration and data fusion applications; and (c) system console that allows the developers to select and upload their application-specific tasks via a user-friendly interface. The user can choose several possible modes of operation to examine various factors such reliability, bandwidth and timeliness of data. This research will lead to the development and prototyping of a low-cost WSN development-solution using available ZigBee-based COTS hardware. The effectiveness of the developed system will be demonstrated in a field-testing exercise using 60 acoustic sensor nodes for transient event detection and localization. Additionally, we will demonstrate applicability of the developed system in a surveillance problem using networks of scanning lasers. These completed systems will be transitioned to the U.S. Army.
Keywords: Distributed Wireless Sensor Network, Optimal Routing, Collaborative Signal Processing And Data Fusion, Optimization, Detection, Localization And Class
