Author(s)

Haythem Alhumud^1,2, Mohammed Zohdy¹, Debatosh Debnath³, Richard Olawoyin⁴, Sayed Ali Arefifar¹

¹Electrical and Computer Engineering Department, Oakland University, Rochester Hills, MI, USA.
²Ministry of Rural Affairs and Municipality, Riyadh, KSA.
³Computer Science and Informatics Department, Oakland University, Rochester Hills, MI, USA.
⁴Industrial and Systems Engineering Department, Oakland University, Rochester Hills, MI, USA.

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.

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

Alhumud, H. , Zohdy, M. , Debnath, D. , Olawoyin, R. and Arefifar, S. (2019) Cooperative Spectrum Sensing for Cognitive Radio-Wireless Sensors Network Based on OR Rule Decision to Enhance Energy Consumption in Greenhouses. Wireless Sensor Network, 11, 1-11. doi: 10.4236/wsn.2019.111001.