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Cooperative Spectrum Sensing for Cognitive Radio-Wireless Sensors Network Based on OR Rule Decision to Enhance Energy Consumption in Greenhouses

DOI: 10.4236/wsn.2019.111001, PP. 1-11

Keywords: Wireless Sensors Networks, Cognitive Radio Networks, Spectrum Decision, Greenhouses, Cooperative Sensing, Greenhouse, Energy Efficient Based on Spectrum Decision

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Abstract:

Wireless sensors networks (WSNs) combined with cognitive radio have developed and solved the limited space of the frequency spectrum. In this paper, we propose different types of spectrums sensing and their own decisions depend on the probabilities that applied into fusion center, and how these probabilities’ techniques help to enhance the energy consumption of WSNs. In the same way, the importance of designing balanced distribution between the wireless sensors networks and their own sinks. This research also provides an overview of security issues in CR-WSN, especially in Spectrum Sensing Data Falsification (SSDF) attacks that enforces harmful effects on spectrum sensing and spectrum sharing. We adopt OR rule as four types of CRSN sensing protocolin greenhouses application by using Matlab and Netsim simulators. Our results show that the designing balanced wireless sensors and their sinks in greenhouses are very significant to decrease the energy, which is due to the traffic congestion in the sink range area. Furthermore, by applying OR rule has enhanced the energy consumption, and improved the sensors network lifetime compared to cognitive radio network.

References

[1]  Chandwani, N., Jain, A. and Vyavahare, P.D. (2015) Throughput Comparison for Cognitive Radio Network under Various Conditions of Primary User and Channel Noise Signals. Radio and Antenna Days of the Indian Ocean (RADIO), Belle Mare, 21-24 September 2015.
[2]  Jin, O., Qiao, Y., Liu, A. and Zhang, L. (2018) EESS: An Energy-Efficient Spectrum Sensing Method by Optimizing Spectrum Sensing Node in Cognitive Radio Sensor Networks. Wireless Communications and Mobile Computing, 2018, Article ID: 9469106.
[3]  Meena, O.P. and Somkuwar, A. (2014) Comparative Analysis of Information Fusion Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks. Proceedings of International Conference on Recent Trends in Information, Telecommunication and Computing, ITC 2014.
[4]  Ali, H., Khattab, A. and Fikri, M. (2016) Generalized Implicit Cooperation with Slotted Contention in Cognitive Radio Wireless Sensor Networks. Proceedings of IEEE International Conference on Selected Topics in Mobile & Wireless Networking (MoWNeT), Cairo, 11-13 April 2016, 1-8.
[5]  Prema, G. and Narmatha, D. (2016) Performance of Energy a Ware Cooperative Spectruim Sensing Algorithm in Cognitive Wireless Sensor Network. Online International Conference on Green Engineering and Technologies (IC-GET), Coimbatore, 19 November 2016.
[6]  Gharaei, N., Abu Bakar, K., Mohd Hashim, S.Z., Hosseingholi Pourasl, A., Siraj, M. and Darwish, T. (2017) An Energy-Efficient Mobile Sink-Based Unequal Clustering Mechanism for WSNs. Sensors (Basel), 17, 1858.
https://doi.org/10.3390/s17081858
[7]  Joshi, G.P., Nam, S.Y. and Kim, S.W. (2013) Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends. Sensors, 13, 11196-11228.
https://doi.org/10.3390/s130911196
[8]  Althunibat, S., Denise, B.J. and Granelli, F. (2016) Identification and Punishment Policies for Spectrum Sensing Data Falsification Attackers Using Delivery-Based Assessment. IEEE Transactions on Vehicular Technology, 65, 7308-7321.
https://doi.org/10.1109/TVT.2015.2497349
[9]  Akyildiz, I.F., Lo, B.F. and Balakrishnan, R. (2011) Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey. Physical Communication, 4, 40-62.
https://doi.org/10.1016/j.phycom.2010.12.003
[10]  Baradkar, H. and Akojwar, S. (2014) Implementation of Energy Detection Method for Spectrum Sensing in Cognitive Radio Based Embedded Wireless Sensor Network Node. International Conference on Electronic Systems, Signal Processing and Computing Technologies, Nagpur, 9-11 January 2014.
https://doi.org/10.1109/ICESC.2014.92
[11]  Alhumud, H. and Zohdy, M. (2018) Adopting the Novel Generalized Implicit-OR Sensing Protocol to Decrease the Energy Consumption of Wireless Sensors in Greenhouse. Proceedings of IEEE International Conference on Electrical, Electronics, Computers, Communication, Mechanical and Computing (EECCMC), Tamil Nadu.
[12]  Alhumud, H. and Zohdy, M. (2018) Managing Energy Consumption of Wireless Sensors Networks in Multiple Greenhouses. Wireless Engineering and Technology, 9, 11-19.
https://doi.org/10.4236/wet.2018.92002

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