Advertisement

SystemC Simulation of Networked Embedded Systems

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 36)

Abstract

The design and simulation of next-generation networked embedded systems are a challenging task since System design choices may affect the network behavior and Network design choices may impact on the System design. For this reason, it is important—at the early stages of the design flow—to model and simulate not only the system under design, but also the heterogeneous networked environment in which it operates. However, System designers are more focused on System design issues and tools while Network aspects are dealt implicitly by choosing traditional protocols even if, in this case, the chance of joint optimization is lost. To solve this issue, we have exploited a modeling language traditionally used for System design—SystemC—to build a System/Network simulator named SystemC Network Simulation Library (SCNSL). This library allows to model network scenarios in which different kinds of nodes, or nodes described at different abstraction levels, interact together. The use of SystemC as unique tool has the advantage that HW, SW, and network can be jointly designed, validated and refined. As a case study, the proposed tool has been used to simulate a sensor network application and it has been compared with NS-2, a well-known network simulator; SCNSL shows nearly two-order-magnitude speed up with TLM modeling and about the same performance as NS-2 with a mixed TLM/RTL scenario. The simulator is partially available to the community at http://sourceforge.net/projects/scnsl/.

Keywords

Networked embedded systems Network simulation IEEE 802.15.4 SystemC 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    V. Aue et al. Matlab based codesign framework for wireless broadband communication DSPs. In Proc. IEEE ICASSP, pages 1253–1256, 2001. Google Scholar
  2. 2.
    AWE Communications. WinProp: Software-Tool for the Planning of Mobile Communication Networks. http://www.awe-communications.com.
  3. 3.
    D. Bertozzi NoC synthesis flow for customized domain specific multiprocessor systems-on-chip. IEEE Trans. Parallel Distrib. Syst., 16(2):113–129, 2005. CrossRefGoogle Scholar
  4. 4.
    N. Bombieri, F. Fummi, and D. Quaglia. TLM/network design space exploration for networked embedded systems. In Proc. IEEE/ACM/IFIP CODES+ISSS, pages 58–63, 2006. Google Scholar
  5. 5.
    M. Conti and D. Moretti. System level analysis of the bluetooth standard. In Proc. IEEE DATE, pages 118–123, March 2005. Google Scholar
  6. 6.
    D. Desmet et al. Timed executable system specification of an ADSL modem using a C++ based design environment: a case study. In Proc. IEEE CODES, pages 38–42, 1999. Google Scholar
  7. 7.
    D. Dietterle, J. Ebert, G. Wagenknecht, and R. Kraemer. A wireless communication platform for long-term health monitoring. In Proc. IEEE International Conference on Pervasive Computing and Communications Workshop, March 2006. Google Scholar
  8. 8.
    J. Fleischmann and K. Buchenrieder. Prototyping networked embedded systems. IEEE Computer, 32(2):116–119, 1999. Google Scholar
  9. 9.
    IEEE Std 1666—2005 IEEE Standard SystemC Language Reference Manual. IEEE Std 1666—2005, pages 1–423, 2006. Google Scholar
  10. 10.
    LAN/MAN Standards Committee of the IEEE Computer Society. IEEE Standard for Information Technology—Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (LR-WPANs), September 2006. Google Scholar
  11. 11.
    N. Lugil and L. Philips. A W-CDMA transceiver core and a simulation environment for 3GPP terminals. In Proc. IEEE Symp. on Spread Spectrum Techniques and Applications, pages 491–495, September 2000. Google Scholar
  12. 12.
    S. McCanne and S. Floyd. NS Network Simulator—version 2. http://www.isi.edu/nsnam/ns.
  13. 13.
    R. Pasko et al. Functional verification of an embedded network component by co-simulation with a real network. In Proc. IEEE HLDVT, pages 64–67, 2000. Google Scholar
  14. 14.
    C. Zhu A comparison of active queue management algorithms using the OPNET modeler. IEEE Communications Magazine, 40(6):158–167, 2002. CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • Francesco Stefanni
  • Davide Quaglia
    • 1
  • Franco Fummi
  1. 1.Department of Computer ScienceUniversity of VeronaVeronaItaly

Personalised recommendations