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Reseach Article

Feasibility and Efficiency of Raspberry Pi as the Single Board Computer Sensor Node

by Mohammad Rafiuzzaman
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 7
Year of Publication: 2017
Authors: Mohammad Rafiuzzaman
10.5120/ijca2017913549

Mohammad Rafiuzzaman . Feasibility and Efficiency of Raspberry Pi as the Single Board Computer Sensor Node. International Journal of Computer Applications. 163, 7 ( Apr 2017), 12-20. DOI=10.5120/ijca2017913549

@article{ 10.5120/ijca2017913549,
author = { Mohammad Rafiuzzaman },
title = { Feasibility and Efficiency of Raspberry Pi as the Single Board Computer Sensor Node },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 7 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 12-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume163/number7/27406-2017913549/ },
doi = { 10.5120/ijca2017913549 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:31.798993+05:30
%A Mohammad Rafiuzzaman
%T Feasibility and Efficiency of Raspberry Pi as the Single Board Computer Sensor Node
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 7
%P 12-20
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Low rate, low power utilization, and ease correspondence are one of the key focuses for the improvement of a practical and effective Sensor Network (SN) framework. This paper introduces this type of cost-effective and efficient sensor system with MFRC522 as sensors and Raspberry Pi as sensor nodes. Raspberry Pi brings the upsides of a Personal Computer (PC) to the space of SNs. This trademark makes it the ideal stage for interfacing with the wide assortment of outer peripherals as appeared in this research work. An efficient customized configuration process for both MFRC522 sensor and Raspberry Pi has been presented in this work in details. Other than this, a comparison of the key components and performances of Raspberry Pi with a portion of the current existing remote sensor nodes is also been presented in this work. This comparison demonstrates that regardless of few drawbacks, the Raspberry Pi remains an economical PC with its effective use in SN space and assorted scope of research applications.

References
  1. Farha Ali, “A Middleware to Connect Software Applications with Sensor Web”, The International Journal of Technology, Knowledge and Society, Volume 6, Issue 5, pp.27-36.
  2. Warneke, B. A. and Pister, K. S. J., "MEMS for Distributed Wireless Sensor Networks", Proceedings of the 9th IEEE International Conference on Electronics, Circuits and Systems, Volume 1, Dubrovnik, Croatia, 15-18 September 2002, pp. 291-294.
  3. M. Richardson and S. Wallace, Getting started with Raspberry Pi, O’Reilly, USA, 2013.
  4. M. Maurya, S. R. N. Shukla, “Current Wireless Sensor Nodes (Motes): Performance metrics and Constraints”, International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), Volume 2, Issue 1, January 2013.
  5. Memsic – Powerful Sensing Solutions, Available: http://www.memsic.com/wireless-sensor-networks, Access Date: 15.12.2013.
  6. "PandaBoard”, PandaBoard's Homepage, Last time accessed: April 2015. [Online]. Available: http://www.pandaboard.org/ Access Date: 19.05.2015.
  7. G Coley, BeagleBone Black System Reference Manual. http://wiki3.icbanq.com/data/ICBShop/board/Biggle%20Bone%20Black%20DataSheet.pdf Access Date: 19.05.2015.
  8. M. Schmidt, Raspberry Pi – A Quick Start Guide, The Pragmatic Bookshelf, 2012.
  9. Hole, K.J., Dyrnes, E., and Thorsheim, P., "Securing Wi-Fi Networks," IEEE Computer, vol. 38, pages 28-34, July 2005.
  10. Fluhrer, S., Mantin, I., and Shamir, A., "Weaknesses in the key scheduling algorithm of RC4," In Eighth Annual Workshop on Selected Areas in Cryptography, August 2001.
  11. Raspberry-Pi-B-Plus-V1.2-Schematics http://www.raspberrypi.org/documentation/hardware/raspberrypi/schematics/Raspberry-Pi-B-Plus-V1.2-Schematics.pdf Access Date: 19.05.2015.
  12. MFRC522 Program Data Sheet. http://www.alldatasheet.com/datasheet-pdf/pdf/346106/NXP/MFRC522.html Access Date: 19.05.2015.
  13. E Upton, G Halfacree. Raspberry Pi user guide. books.google.com. 3rdEdition. 2014.
  14. Raspberry Pi Getting Started Guide, RS Components, Vsn 1.0, 2012.
  15. IBEX, Electronic Product Design Specialists. Raspberry Pi Resources. http://www.raspberry-projects.com/pi/pi-operating-systems/win32diskimager, Access Date: 15.05.2015.
  16. J. L. Hill, System Architecture for Wireless Sensor Networks, PhD Thesis, University of California, Berkley, 2003.
  17. B. Horan, Practical Raspberry Pi, Apres, USA, 2013.
  18. Luiz Felipe Perrone, David M. Nicol, Network modeling and simulation: a scalable simulator for TinyOS applications, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08-11, 2002, San Diego, California.
  19. UM10204 I2C-bus specification and user manual, Rev.5, October 2012.
  20. Serial Peripheral Interface, MC68HC11A8 Technical Data, Motorola, http://wwwee.eng.hawaii.edu/~tep/EE491E/Notes/HC11A8/HC11A8_SPI.pdf Access Date: 5.12.2013.
Index Terms

Computer Science
Information Sciences

Keywords

GPIO MFRC522 Raspberry Pi Raspbian RFID single board computer (SBC) sensor network