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Kansei: a high-fidelity sensing testbed

2006; IEEE Computer Society; Volume: 10; Issue: 2 Linguagem: Inglês

10.1109/mic.2006.37

1941-0131

Anish Arora, Emre Ertin, Rajiv Ramnath, Mikhail Nesterenko, William Leal,

Indoor and Outdoor Localization Technologies

Hardware and software testbeds are becoming the preferred basis for experimenting with embedded wireless sensor network applications. The Kansei testbed at the Ohio State University features a heterogeneous hardware infrastructure, with dedicated node resources for local computation, storage, data retrieval, and back-channel communication. Kansei includes a time-accurate hybrid simulation engine that uses testbed hardware resources to simulate large arrays. It supports high-fidelity sensor data generation as well as real-time data and event injection. The testbed also includes software components and an associated job-control language for complex multi-tier experiments.