skip to main content
10.1145/3067665.3067680acmotherconferencesArticle/Chapter ViewAbstractPublication Pageswns3Conference Proceedingsconference-collections
research-article

Simulation Module and Tools for XDense Sensor Network

Published: 13 June 2017 Publication History

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

[1]
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.
[2]
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.
[3]
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.
[4]
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).
[5]
L. N Cattafesta III and M. Sheplak. 2011. Actuators for Active Flow Control. Annual Review of Fluid Mechanics 43 (2011), 247--272.
[6]
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.
[7]
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.
[8]
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.
[9]
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).
[10]
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.
[11]
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.
[12]
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.
[13]
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.
[14]
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_2
[15]
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.
[16]
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.
[17]
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.

Cited By

View all
  • (2019)Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic ShapingACM Transactions on Cyber-Physical Systems10.1145/32308723:3(1-27)Online publication date: 20-Aug-2019
  • (2017)Real-time dense wired sensor network based on traffic shaping2017 IEEE 23rd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)10.1109/RTCSA.2017.8046307(1-10)Online publication date: Aug-2017

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
WNS3 '17: Proceedings of the 2017 Workshop on ns-3
June 2017
134 pages
ISBN:9781450352192
DOI:10.1145/3067665
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 June 2017

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Network-on-Chip
  2. NoC
  3. Sensor Networks
  4. XDense
  5. ns-3

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

WNS3 '17
WNS3 '17: Workshop on ns-3
June 13 - 14, 2017
Porto, Portugal

Acceptance Rates

Overall Acceptance Rate 54 of 82 submissions, 66%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2019)Extensive Analysis of a Real-Time Dense Wired Sensor Network Based on Traffic ShapingACM Transactions on Cyber-Physical Systems10.1145/32308723:3(1-27)Online publication date: 20-Aug-2019
  • (2017)Real-time dense wired sensor network based on traffic shaping2017 IEEE 23rd International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)10.1109/RTCSA.2017.8046307(1-10)Online publication date: Aug-2017

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media