Kansei Sensor Testbed

"Kansei: A testbed for sensing at scale", Proceedings of the 4th Symposium on Information Processing in Sensor Networks (IPSN/SPOTS track), 2006, to appear
Authored By E. Ertin, A. Arora, R. Ramnath, M. Nesterenko on 03/01/2006
The Kansei testbed at the Ohio State University is designed to facilitate research on networked sensing applications at scale. Kansei embodies a unique combination of characteristics as a result of its design focus on sensing and scaling: (i) Heterogeneous hardware infrastructure with dedicated node resources for local computation, storage, data extraction and back-channel communication, to support complex experimentation. (ii) Time accurate hybrid simulation engine for simulating substantially larger arrays using testbed hardware resources. (iii) High fidelity sensor data generation and real-time data and event injection. (iv) Software components and associated job control language to support complex multi-tier experiments utilizing real hardware resources and data generation and simulation engines. In this paper, we present the elements of Kansei testbed architecture, including its hardware and software platforms as well as its hybrid simulation and sensor data generation engines.

"Kansei: A high-fidelity sensing testbed", IEEE Internet Computing, special issue on Large-Scale Sensor Networks, March 2006, to appear
Authored By A. Arora, E. Ertin, R. Ramnath, M. Nesterenko, and W. Leal on 03/02/2006
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 jobcontrol language for complex multi-tier experiments.