Notice of Violation of IEEE Publication Principles - Energy efficient sensing with spectrum opportunity forecasting for cognitive radio networks
Bathula Siva Kumar Reddy, B. Lakshmi · 2015
Notice of Violation of IEEE Publication Principles"Energy Efficient Sensing with Spectrum Opportunity Forecasting for Cognitive Radio Networks"by B. Siva Kumar Reddy, B. Lakshmiin the Proceedings of the International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), February 2015After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles.This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:"Spectrum Opportunity Forecasting for Energy Efficient Sensing in Cognitive Radio Networks"by S.D. Barnes, B.T. Maharaj, A.S. Alfain the Proceedings of the 2nd International Symposium on Telecommunications Technologies, November 2014, pp. 88-92Energy efficiency and adaptability in the utilization of radio spectrum are two major research challenges for the advancement of future wireless communications technologies. To address these difficulties, we enhance the energy efficiency by utilizing spectrum opportunity forecasting (SOF) and optimal scheduling for sensor node activation to decrease the required number of SS events. The application of SOF to cooperative spectrum sensing (SS) is one of the exceptional commitments of this paper. Results demonstrated that this combination could significantly diminish sensor node energy utilization and in this manner increase cognitive radio network (CRN) lifetime. A positive direct relationship was found between forecast length and CRN lifetime. A vast change in the collective lifetime of the sensor system was observed when SOF was utilized for a forecast length of ten SS events, utilizing implicit enumeration (IE) under the uniform sensor node distribution.