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.

has been cited by the following article:

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

  AUTHORS: Haythem Alhumud, Mohammed Zohdy, Debatosh Debnath, Richard Olawoyin, Sayed Ali Arefifar

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

  JOURNAL NAME: Wireless Sensor Network, Vol.11 No.1, January 31, 2019

  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.