A Novel Cognitive Radio enabled IoT System for Smart Irrigation

Authors

  • Ammar Ahmed Khan K Electric Company, Karachi
  • Aamir Zeb Shaikh Department of Telecommunications Engineering, NED University of Engineering & Technology, Karachi
  • Shabbar Naqvi Department of Computer Systems Engineering, Baluchistan University of Engineering& Technology, Khuzdar
  • Talat Altaf Department of Electrical Engineering, Sir Syed University of Engineering & Technology, Karachi

DOI:

https://doi.org/10.26713/jims.v9i1.458

Keywords:

Smart irrigation, IoT, Cognitive radio

Abstract

A novel architecture is proposed and analyzed that incorporates cognitive radio concept into Internet of Things (IoT) for smart irrigation system. The proposed system will optimize the use of natural resource i.e. water. Typically, the flow of water for irrigation of crop fields is not uniform due to many reasons including non-uniform terrain, availability of resources at different sites and etc.This un-even flow produces lesser product from the farms. The proposed system uses two data types to model the different conditions of crop filed. Based on these assumptions, the proposed system is analyzed. The simulation results for the proposed scenario are also presented.

Downloads

Download data is not yet available.

References

H. Kopetz, "Internet of things," in Real-time systems, ed: Springer, 2011, pp. 307-323.

F. Xia, et al., "Internet of things," International Journal of Communication Systems, vol. 25, p. 1101, 2012.

A. Iera, et al., "The internet of things [Guest Editorial]," Wireless Communications, IEEE, vol. 17, pp. 8-9, 2010.

J. Liu, et al., "Applications of internet of things on smart grid in china," in Advanced Communication Technology (ICACT), 2011 13th International Conference on, 2011, pp. 13-17.

L. Tan and N. Wang, "Future internet: The internet of things," in Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on, 2010, pp. V5-376-V5-380.

C.-I. Badoi, et al., "5G based on cognitive radio," Wireless Personal Communications, vol. 57, pp. 441-464, 2011.

S. Haykin, "Cognitive radio: brain-empowered wireless communications," Selected Areas in Communications, IEEE Journal on, vol. 23, pp. 201-220, 2005.

S. Nagaraj and F. Rassam, "Cognitive Radio in TV White Space," in Wireless Research Collaboration Symposium (NWRCS), 2014 National, 2014, pp. 84-89.

A. Sheikh, Wireless communications: theory and techniques: Springer Science & Business Media, 2011.

M. A. Shah, et al., "Cognitive radio networks for Internet of Things: Applications, challenges and future," in Automation and Computing (ICAC), 2013 19th International Conference on, 2013, pp. 1-6.

Q. Wu, et al., "Cognitive internet of things: a new paradigm beyond connection," Internet of Things Journal, IEEE, vol. 1, pp. 129-143, 2014.

Z. Feng, "Research on water-saving irrigation automatic control system based on internet of things," in Electric Information and Control Engineering (ICEICE), 2011 International Conference on, 2011, pp. 2541-2544.

F. TongKe, "Smart Agriculture Based on Cloud Computing and IOT," Journal of Convergence Information Technology, vol. 8, 2013.

T. Robles, et al., "An IoT based reference architecture for smart water management processes," J. Wirel. Mob. Netw. Ubiquit. Comput. Dependable Appl, vol. 6, pp. 4-23, 2015.

J. Gubbi, et al., "Internet of Things (IoT): A vision, architectural elements, and future directions," Future Generation Computer Systems, vol. 29, pp. 1645-1660, 2013.

Downloads

Published

2017-08-09
CITATION

How to Cite

Khan, A. A., Shaikh, A. Z., Naqvi, S., & Altaf, T. (2017). A Novel Cognitive Radio enabled IoT System for Smart Irrigation. Journal of Informatics and Mathematical Sciences, 9(1), 129–136. https://doi.org/10.26713/jims.v9i1.458

Issue

Vol. 9 No. 1 (2017)

Section

Research Articles

License

Authors who publish with this journal agree to the following terms:
  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a CCAL that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.