Emre Ertin
Vinayak Naik
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.
- A. Arora et al., "Exscal: Elements of an extreme scale wireless sensor network," in Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005), Hong Kong, Aug 2005.]] Google Scholar
Digital Library
- A. Arora, E. Ertin, R. Ramnath, M. Nesterenko, and W. Leal, "Kansei: A high fidelity sensing testbed," to appear in Internet Computing, April 2006.]] Google ScholarDigital Library
- W. J. Kaiser em et al., "Networked infomechanical systems (NIMS) for ambient intelligence," Book, Editor(s): J. Rabaey Collection: Ambient Intelligence, 2004.]]Google Scholar
- K. A. Delin et al., "Environmental studies with the sensor web: Principles and practice," Sensors, vol. 5, no. 1-2, pp. 103--117, 2005.]]Google ScholarCross Ref
- D. E. Culler, "Toward the sensor network macroscope," in ACM MobiHoc (Keynote Speech), 2005.]] Google ScholarDigital Library
- A. Mainwaring et al., "Wireless sensor networks for habitat monitoring," in WSNA, 2002.]] Google ScholarDigital Library
- J. Paek et al., "A wireless sensor network for structural health monitoring: Performance and experience," in Proceedings of the Second IEEE Workshop on Embedded Networked Sensors (EmNetS-II), May 2005.]] Google ScholarDigital Library
- G. Werner-Allen, P. Swieskowski, and M. Welsh, "Motelab: A wireless sensor network testbed," in Proceedings of the Fourth International Conference on Information Processing in Sensor Networks (IPSN-SPOTS), April 2005.]] Google ScholarDigital Library
- E. Welsh, W. Fish, and P. Frantz, "GNOMES: A Testbed for Low-Power Heterogeneous Wireless Sensor Networks," in IEEE International Symposium on Circuits and Systems (ISCAS), Bangkok, Thailand, May 2003.]]Google Scholar
- I. Akyildiz and X. Wang, "A survey on wireless mesh networks," IEEE Communications Magazine, vol. 43, no. 9, Sep 2005.]] Google ScholarDigital Library
- D. Raychaudhuri et al., "Overview of the orbit radio grid testbed for evaluation of next-generation wireless network protocols," in WCNC, 2005.]]Google Scholar
- B. A. Chambers, "The grid roofnet: A rooftop ad hoc wireless network," MIT Master's Thesis, Tech. Rep., June 2002.]]Google Scholar
- J. Broch et al., "A performance comparison of multi-hop wireless ad hoc network routing protocols," in Mobile Computing and Networking, 1998, pp. 85--97.]] Google ScholarDigital Library
- X. Zeng, R. Bagrodia, and M. Gerla, "GloMoSim: A library for parallel simulation of large-scale wireless networks," in Workshop on Parallel and Distributed Simulation, 1998, pp. 154--161.]] Google ScholarDigital Library
- G. Simon, P. Völgyesi, M. Maróti, and Á. Lédeczi, "Simulation-based optimization of communication protocols for large-scale wireless sensor networks," in IEEE Aerospace Conference, 2003.]]Google Scholar
- P. Levis, N. Lee, M. Welsh, and D. Culler, "TOSSIM: accurate and scalable simulation of entire tinyos applications," in Proceedings of the first international conference on Embedded networked sensor systems. ACM Press, 2003, pp. 126--137.]] Google ScholarDigital Library
- L. F. Perrone and D. M. Nicol, "A scalable simulator for TinyOS applications," in WSC, 2002.]] Google ScholarDigital Library
- S. Sundresh, W. Kim, and G. Agha, "SENS: A sensor, environment, network simulator," in The 37th Annual Simulation Symposium (ANSS37), April 2004.]] Google ScholarDigital Library
- B. Titzer, D. Lee, and J. Palsberg, "Avrora: Scalable sensor network simulation with precise timing," in Proceedings of the Furth International Conference on Information Processing in Sensor Networks (IPSN'05), Los Angeles, CA, April 2005.]] Google ScholarDigital Library
- S. Park, A. Savvides, and M. B. Srivastava, "SensorSim: A simulation framework for sensor networks," in Proceedings of MSWiM, August 2000.]] Google ScholarDigital Library
- L. Girod et al., "EmStar: a software environment for developing and deploying wireless sensor networks," in Proceedings of USENIX 04, 2004.]] Google ScholarDigital Library
- H. Hanselmann, "Hardware in the loop simulation as a standard approach for development, customization, production test," SAE paper 930207, 1993.]]Google ScholarCross Ref
- D. Jia, B. H. Krogh, and C. Wong, "TOSHILT: middleware for hardware-in-the-loop testing of wireless sensor networks," http://www.ece.cmu.edu/~webk/sensor_networks/toshilt/.]]Google Scholar
- J. Hill et al., "System architecture directions for networked sensors," ACM SIGPLAN Notices, vol. 35, no. 11, pp. 93--104, Nov. 2000.]] Google ScholarDigital Library
- J. S. Liu, Monte Carlo Strategies in Scientific Computing. Springer, 2001.]]Google Scholar
Index Terms
- Kansei: a testbed for sensing at scale
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