Advertisement

Wireless Personal Communications

, Volume 97, Issue 3, pp 3743–3756 | Cite as

Overview of ISM Bands and Software-Defined Radio Experimentation

  • Abhaykumar Kumbhar
Article
  • 144 Downloads

Abstract

Wireless systems using low-power wireless communication protocol are rapidly gain popularity in the license-free industrial scientific, and medical (ISM) frequency bands. One such emerging trend in ISM frequency bands is home automation. Historically, all the home devices were once unconnected, today are now being connected either by a wired or wireless connection. The low-power wireless communication protocols enable integration of all the digital home devices into a single system and enhance end user product experience. The rapid prototyping of these end user product using programmable radio system such as software-defined radio has been the game-changer in the field of home automation. In this article, we present an overview of popular ISM bands in different regions of the world. Furthermore, we analyze the signals from the wireless electric switch using a software-defined radio in 433 MHz ISM band.

Keywords

Home automation Industrial, scientific, and medical radio band (ISM) On-off keying Software-defined radio 433 MHz 

References

  1. 1.
    Alkar, A. Z., & Buhur, U. (2005). An Internet based wireless home automation system for multifunctional devices. IEEE Transactions on Consumer Electronics, 51(4), 1169–1174.CrossRefGoogle Scholar
  2. 2.
    Gomez, C., & Paradells, J. (2010). Wireless home automation networks: A survey of architectures and technologies. IEEE Communications Magazine, 48(6), 92–101.CrossRefGoogle Scholar
  3. 3.
    Mainetti, L., Patrono, L., & Vilei, A. (2011). Evolution of wireless sensor networks towards the internet of things: A survey. In Proceedings Of IEEE 19th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)., pp. 1–6.Google Scholar
  4. 4.
    Ectors, M. (2015). Software Defined Radio is Going to Be the Next Revolution. DZone IoT Zone, Tech. Rep.Google Scholar
  5. 5.
    Dormer, M. (2008). Choice of frequency band can really make a difference. Radiometrix, Tech. Rep., First published in Electronics World magazine. June 2008 issue.Google Scholar
  6. 6.
    Mazar, H. (2014). International, regional and national regulation of SRDs. In Proceedings of ITU Workshop on Short Range Devices (SDRs) and Ultra Wide Band (UWB).Google Scholar
  7. 7.
    Montgomery, S. (2014). Using 433 MHz for wireless connectivity in the Internet of Things. EDN Network, Tech. Rep.Google Scholar
  8. 8.
    Wepman, J. An Overview of SDR and Enabling Technologies. Institute for Telecommunication Sciences, Tech. Rep., National Telecommunications and Information Administration, US Department of Commerce.Google Scholar
  9. 9.
    Texas Instruments, ISM-Band and Short Range Device Regulatory Compliance Overview. Texas Instruments, Tech. Rep., May 2005, Application Report-SWRA048.Google Scholar
  10. 10.
    Patrick Butler, A. H. (2005). A Smart Modem for Robust Wireless Data Transmission Over ISM Bands (433 MHz, 868 MHz, and 902 MHz). Analog Devices, Tech. Rep.Google Scholar
  11. 11.
    Ryan Winfield Woodings, M. G. (2006). Avoiding Interference in the 2.4-GHz ISM Band. EE Times.Google Scholar
  12. 12.
    Austin Harney, C. O. (2006). Wireless short-range devices: Designing a global license-free system for frequencies 1 GHz. Analog Devices, Tech. Rep.Google Scholar
  13. 13.
    Office of Communications. (Ofcom) (2010). Short range devices operating in the 863–870 MHz frequency band. AEgis System Limited, Tech. Rep.Google Scholar
  14. 14.
    ITU. (2011). Frequency ranges for global or regional harmonization of short-range devices. ITU-R, Radiocommunication Sector of ITU, Tech. Rep., Recommendation ITU-R SM.1896.Google Scholar
  15. 15.
    Baccour, N., Puccinelli, D., Voigt, T., Koubaa, A., Noda, C., Fotouhi, H., Alves, M., Youssef, H., Zuniga, M. A., Boano, C. A. et al. (2013). External radio interference. In Radio Link Quality Estimation in Low-Power Wireless Networks (pp. 21–63). Springer.Google Scholar
  16. 16.
    Moussavinik, H. (2013). On Narrowband Interference Mitigation Methods for Robust Wireless Sensor Networks.Google Scholar
  17. 17.
    Nesimoglu, T. (2010). A review of Software Defined Radio enabling technologies. In Proceedings of the IEEE Mediterranean Microwave Symposium (MMS), pp. 87–90.Google Scholar
  18. 18.
    Srilatha, M., Hemalatha, R., Aditya, T. S., & Sravanthi, P. A. (2013). Knowledge based Analysis of Software Defined Radio for Wireless Communication: A Preliminary Survey. International Journal of Computer Applications71(20), 27–32.Google Scholar
  19. 19.
    Lin, Y. H., Wang, Q., Wang, J. S., Shao, L., & Tang, J. (2013). Wireless IoT platform based on SDR technology. In Proceedings of the IEEE International Conference on Green Computing and Communications (GreenCom), IEEE and Internet of Things (iThings/CPSCom), and IEEE Cyber, Physical and Social Computing, pp. 2245–2246.Google Scholar
  20. 20.
    Ulversøy, T. (2010). Software defined radio: Challenges and opportunities. IEEE Communications Surveys & Tutorials, 12(4), 531–550.CrossRefGoogle Scholar
  21. 21.
    Tuttlebee, W. H. (1999). Software-defined radio: facets of a developing technology. IEEE Personal Communications, 6(2), 38–44.CrossRefGoogle Scholar
  22. 22.
    Ferrari, P., Flammini, A., & Sisinni, E. (2011). New architecture for a wireless smart sensor based on a software-defined radio. IEEE Transactions on Instrumentation and Measurement, 60(6), 2133–2141.CrossRefGoogle Scholar
  23. 23.
    Abidi, A. A. (2007). The path to the software-defined radio receiver. IEEE Journal of Solid-State Circuits, 42(5), 954–966.CrossRefGoogle Scholar
  24. 24.
  25. 25.
    Youngblood, G. A Software-Defined Radio for the Masses, Part 1. American Radio Relay League, Tech. Rep.Google Scholar
  26. 26.
    Great Scott Gadgets. [Online]. Available: https://greatscottgadgets.com/hackrf/.
  27. 27.
  28. 28.
    SDRSharp webpage. [Online]. Available: http://sdrsharp.com/.
  29. 29.
    Proakis, J. G. (2001). Digital communications.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringFlorida International UniversityMiamiUSA

Personalised recommendations