Yenumula B. Reddy

Yenumula B. Reddy, Professor, IEEE Senior Member, IARIA Fellow and program coordinator of Computer Science, Grambling State University. His research contributions span a number of areas including wireless communications, sensor networks, and applications of game models, neural networks, and genetic algorithms to wireless networks. He is one of the editors of SENSORCOMM 2011, associate editor of ITNG 2009-2012 proceedings and associate editors of the book ‘Soft Computing Applications in Industry’. He is editorial board member of Journal BITM Transactions on EECC, SATCCN, IJSPTM, MASAUM Journal of Engineering and Applied Sciences (MJEAS), and International Journal of Engineering and Industries (IJEI). Dr. Reddy is review Committee member of journals IEEE-TVC, IEEE-TVT, Journal of High performance Computing, and Journal of Communications. He is program Committee member of many conferences including SENSORCOMM (IARIA) and ICN (IARIA). He is Program Committee Chair of ITNG 2013. He has successful funding record from the federal and state grants (USA).

Publications

Nanocomputing in Cognitive Radio Networks to Improve the Performance
Nanocomputing in Cognitive Radio Networks to Improve the Performance
Yenumula B. Reddy. © 2014. 21 pages.
Computing and communications are central issues in cognitive radio networks. The cognitive users are increasing exponentially and the available spectrum resource is constant....
Cognitive Radio Technology Applications for Wireless and Mobile Ad Hoc Networks
Cognitive Radio Technology Applications for Wireless and Mobile Ad Hoc Networks
Natarajan Meghanathan, Yenumula B. Reddy. © 2013. 370 pages.
Radio interference is a problem that has plagued air communication since its inception. Advances in cognitive radio science help to mitigate these concerns. Cognitive Radio...
Nanocomputing in Cognitive Radio Networks to Improve the Performance
Nanocomputing in Cognitive Radio Networks to Improve the Performance
Yenumula B. Reddy. © 2013. 21 pages.
This spectrum sensing application is ideal for nanotechnology implementation because intensive computations are needed. Without nanocomputing it might be infeasible to implement...
Application of Game Models for Cognitive Radio Networks
Application of Game Models for Cognitive Radio Networks
Yenumula B. Reddy. © 2013. 18 pages.
Cognitive radio technology addresses the intelligent and adaptive models in wireless devices to obtain the unused spectrum (spectrum holes) without any inconvenience to the...