Kansei: a testbed for sensing at scale

ABSTRACT

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 exfiltration 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.

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.0 General

General Terms:
Experimentation, Measurement

Keywords:
hybrid simulation, sensor modeling, sensor network testbed