@Article{10798587.2017.1364931,
AUTHOR = {H. Anandakumar, K. Umamaheswari},
TITLE = {An Efficient Optimized Handover in Cognitive Radio Networks Using Cooperative  Spectrum Sensing},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {4},
PAGES = {843--849},
URL = {http://www.techscience.com/iasc/v24n4/39810},
ISSN = {2326-005X},
ABSTRACT = {Cognitive radio systems necessitate the incorporation of cooperative spectrum sensing among cognitive 
users to increase the reliability of detection. We have found that cooperative spectrum sensing is not 
only advantageous, but is also essential to avoid interference with any primary users. Interference by 
licensed users becomes a chief concern and issue, which affects primary as well as secondary users 
leading to restrictions in spectrum sensing in cognitive radios. When the number of cognitive users 
increases, the overheads of the systems, which are meant to report the sensing results to the common 
receiver, which becomes massive. When the spectrum, which is in use becomes unavailable or when the 
licensed user takes the allocated band, these networks have the capability of changing their operating 
frequencies. In addition, cognitive radio networks are seen to have the unique capability of sensing the 
spectrum range and detecting any spectrum, which has been left underutilized. Further this capability 
of recognizing the spectrum range based on the dimensions detected, allows for determination of 
the band, which may be utilized. The main objective of this paper is to analyze the cognitive radio’s 
spectrum sensing ability and evolving a self-configured system with dynamic intelligence networks 
without causing any interference to the primary user. The paper also brings focus to the quantitative 
analysis of the two spectrum sensing techniques namely; Energy Detection and Band Limited White 
Noise Detection. The estimation technique for detecting spectrum noise is based on the detection of 
probability and probability of false alarms at different Signal-to-Noise Ratio (SNR) levels using Additive 
White Gaussian Noise signal (AWGN). The efficiency of the proposed Cooperative CUSUM spectrum 
sensing algorithm performs better than existing optimal rules based on a single observation spectrum 
sensing techniques under cooperative networks.},
DOI = {10.1080/10798587.2017.1364931}
}