ABSTRACT
We present a ns-3 module developed for wired 2D mesh grid sensor network systems, that resemble Network-on-Chip architectures. It has been designed to enable complex feature extraction from sensed data in realtime with distributed processing. We provide the design specifications, communication and processing delay models and a high level system model for XDense using ns-3. We validate our module by comparing its performance with a hardware implementation.
References
- A. Berns and E. Obermeier. 2009. AeroMEMS Sensor Arrays for Time Resolved Wall Pressure and Wall Shear Stress Measurements. In Imaging Measurement Methods for Flow Analysis. Springer, 227--236.Google Scholar
- U. Buder, R. Petz, M. Kittel, W. Nitsche, and E. Obermeier. 2008. AeroMEMS Polyimide Based Wall Double Hot-Wire Sensors for Flow Separation Detection. Sensors and Actuators A: Physical 142, 1 (2008), 130--137.Google Scholar
- L. Cai and D. Gajski. 2003. Transaction Level Modeling: An Overview. In Proceedings of the 1st IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS '03). ACM, New York, NY, USA, 19--24. Google Scholar
- L. Cai, S. Verma, and D. Gajski. 2003. Comparison of Specfic and SystemC Languages for System Design. CECS, University of California, Irvine, CA, USA, Tech. Rep (2003).Google Scholar
- L. N Cattafesta III and M. Sheplak. 2011. Actuators for Active Flow Control. Annual Review of Fluid Mechanics 43 (2011), 247--272.Google Scholar
- D. Ganesan, A. Cerpa, W. Ye, Y. Yu, J. Zhao, and D. Estrin. 2004. Networking Issues in Wireless Sensor Networks. J. Parallel and Distrib. Comput. 64, 7 (2004), 799--814. Google Scholar
- N. Kasagi, Y. Suzuki, and K. Fukagata. 2009. Microelectromechanical Systems-Based Feedback Control of Turbulence for Skin Friction Reduction. Annual review of fluid mechanics 41 (2009), 231--251.Google Scholar
- N K. Kavaldjiev and G. J. M. Smit. 2003. A Survey of Efficient On-Chip Communications for SoC. http://eprints.eemcs.utwente.nl/833/. In 4th PROGRESS Symposium on Embedded Systems, Nieuwegein, The Netherlands. Technology Foundation STW, Utrecht, The Netherlands, 129--140.Google Scholar
- F. Kopsaftopoulos, R. Nardari, Y. Li, P. Wang, and F. Chang. 2015. State Sensing and Awareness for a Bio-inspired Intelligent Composite UAV Wing. (2015).Google Scholar
- S. Kumar, A. Jantsch, J-P Soininen, M. Forsell, M. Millberg, J. Oberg, K. Tiensyrja, and A. Hemani. 2002. A Network-on-Chip Architecture and Design Methodology. In 2002 IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2002). 105--112. Google Scholar
- J. Loureiro, V. Gupta, N. Pereira, E. Tovar, and R. Rangarajan. 2013. XDense: A Sensor Network for Extreme Dense Sensing. Proceedings of the Work-In-Progress Session at the 2013 IEEE Real-Time Systems Symposium (2013), 19--20.Google Scholar
- J. Loureiro, R. Rangarajan, and E. Tovar. 2015. Demo Abstract: Towards the Development of XDense, A Sensor Network for Dense Sensing. 12th European Conference on Wireless Sensor Networks (EWSN) (2015), 23.Google Scholar
- J. Loureiro, R. Rangarajan, and E. Tovar. 2015. Distributed Sensing of Fluid Dynamic Phenomena with the XDense Sensor Grid Network. In 2015 IEEE 3rd International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA 2015). 54--59. Google Scholar
- L. Maillet-Contoz and F. Ghenassia. 2005. Transaction Level Modeling. In Transaction Level Modeling with SystemC. Springer, 23--55. http://link.springer.com/chapter/10.1007/0-387-26233-4_2Google Scholar
- S. Medardoni. 2009. Driving the Network-on-Chip Revolution to Remove the Interconnect Bottleneck in Nanoscale Multi-Processor Systems-on-Chip. Ph.D. Dissertation. Università degli studi di Ferrara.Google Scholar
- A. Olofsson, T. Nordstrm, and Z. Ul-Abdin. 2014. Kickstarting High-Performance Energy-Efficient Manycore Architectures With Epiphany. In 2014 48th Asilomar Conference on Signals, Systems and Computers. 1719--1726.Google Scholar
- F. Palacios, J. Alonso, K. Duraisamy, M. Colonno, J. Hicken, A. Aranake, A. Campos, S. Copeland, T. Economon, A. Lonkar, and others. 2013. Stanford University Unstructured (SU 2): An Open-Source Integrated Computational Environment for Multi-Physics Simulation and Design. In 51st AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. 287.Google Scholar




Comments