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Introduction to the special issue on Cognitive Radio Networks
Computers and Electrical Engineering 42 (2015) 115–116
Contents lists available at ScienceDirect
Computers and Electrical Engineering journal homepage: www.elsevier.com/locate/compeleceng
Guest editorial
Introduction to the special issue on Cognitive Radio Networks This special issue discusses various topics related to cognitive radio networks. This area has evolved over the past years with the goal to improve spectrum utilization in wireless networks. Several advances have been witnessed but still it is very active in research. The papers published in this special issue are refereed extended versions of selected best papers of the Second International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), held during August 22–25, 2013, in Mysore, India (http://icacci-conference.org/site). The selection criteria were on the basis of originality, technical contribution, and quality of presentation. The special issue also contains a few other selected papers. The papers spin around various research points in cognitive radio technology and networks such as spectrum and power allocation, channel reservation, spectrum sensing, and routing and channel selection. The organization of the special issue is as follows: The first paper, ‘‘Routing and Channel Selection from Cognitive Radio Network’s Perspective: A Survey’’ by Yasir Saleem, Farrukh Salim, and Mubashir H. Rehmani, discusses the challenges of joint channel selection and routing in cognitive radio networks. It also provides a comprehensive survey of various strategies and presents a case study for spectrum-aware dynamic channel assignment. Moreover, it highlights the guidelines for the development of efficient routing protocols. The second paper, ‘‘Primary User Behavior Aware Spectrum Allocation Scheme for Cognitive Radio Networks’’ by KyungGeun Lee, Saleem Aslam, and Adnan Shahid, proposes a joint channel selection and allocation scheme which is aware of the primary user (PU) behavior. After ranking channels utilizing the usage statistics of PUs, it employs a proportional fair oriented channel allocation scheme to allocate channels among cognitive radios. The paper also introduces the concept of time-varying framing process (TVFP) to minimize the overall data transmission time. The third paper, ‘‘Design and Analysis of Channel Reservation Scheme in Cognitive Radio Networks’’ by Tamal Chakraborty, and Iti S. Misra, studies the problem of channel reservation for licensed primary users. It evaluates the network parameters to obtain a tradeoff between the decrease in interference and the low spectrum utilization resulting from channel reservation. Additionally, it determines the optimal number of channels to be reserved and presents an analytical framework for VoIP applications in cognitive networks. The fourth paper, ‘‘Optimal and Suboptimal Adaptive Algorithms for Rate and Power Transmission in OFDM-Based Cognitive Radio Systems’’ by Reza Khederzadeh, and Hamid Farrokhi, considers the interference introduced by secondary users on the licensed bands and the total transmit power budget constraints. It also proposes a low-complexity suboptimal power allocation scheme and compares its performance with the optimal and existing algorithms including uniform loading and water filling algorithms. The fifth paper, ‘‘Field Programmable Gate Array Implementation of Spectrum Allocation Technique for Cognitive Radio Networks’’ by Kiran K. Anumandla, Rangababu Peesapati, and Samrat L. Sabat, presents a hardware implementation for spectrum allocation in cognitive networks using field-programmable gate arrays. The sixth paper, ‘‘Interference-Aware Spectrum Sensing Mechanisms in Cognitive Radio Networks’’ by Yao Yu, Zhaolong Ning, Qingyang Song, Yuhuai Peng, and Bo Zhang, focuses on spectrum sensing mechanisms which can improve the network throughput by the optimization and cooperative spectrum sensing. It considers various scenarios with both single and multiple secondary users with single and multiple channels and different sensing methods. The seventh paper, ‘‘Energy-Efficient Design of Channel Sensing in Cognitive Radio Networks’’ by Hang Hu, Hang Zhang, Hong Yu, Yi Chen, and Javad Jafarian, presents a novel spectrum sensing in cognitive networks for efficient use of the scarce energies available to secondary users. The optimization problem is solved for additive white Gaussian noise (AWGN) channels, Nakagami fading channels and Rayleigh fading channels. The eighth paper, ‘‘Optimized energy limited cooperative spectrum sensing in cognitive radio networks’’ by Masoud Moradkhani, Paeiz Azmi, and Mohammad Ali Pourmina considers the energy consumption problem in cooperative spectrum
http://dx.doi.org/10.1016/j.compeleceng.2015.03.009 0045-7906/Ó 2015 Published by Elsevier Ltd.
116
Guest editorial / Computers and Electrical Engineering 42 (2015) 115–116
sensing. It presents a scheme based on convex optimization analysis to jointly obtain the optimal values of sensing time and detection thresholds. Finally, the guest editors would like to thank the authors for their contributions which made this special issue possible. We would also like to thank the referees for their prompt response, critical evaluation and invaluable comments that helped authors improve their works significantly. Thanks to the editorial and publication staff at Elsevier for their dedication and support. Special thanks due to Dr. Manu Malek, the Editor-in-Chief of the Computers and Electrical Engineering journal, for his support and encouragement during the preparation of this special issue. Guest Editors Sabu M. Thampi Indian Institute of Information Technology and Management-Kerala (IIITM-K), India E-mail address: [email protected] El-Sayed M. El-Alfy King Fahd University of Petroleum and Minerals, Saudi Arabia E-mail address: [email protected] Sabu M. Thampi is working as Associate Professor at the Indian Institute of Information Technology and Management - Kerala (IIITM-K), Trivandrum, India. He has completed Ph.D. in Computer Engineering from National Institute of Technology Karnataka. His research interests include network security, security informatics, bio-inspired computing, very large databases, image forensics and distributed computing. He has edited few books published by reputed international publishers and published papers in academic journals and international and national proceedings. He is the founding Editor-in-Chief of International Journal of Trust Management in Computing and Communications (IJTMCC), Inderscience Publishers. He is a senior member of IEEE and member of IEEE Communication Society and ACM.
El-Sayed M. El-Alfy is working as Associate Professor and Coordinator of the Intelligent Systems Research Group, College of Computer Sciences and Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia. He is on leave from Tanta University, Egypt. His research areas include intelligent systems, mobile computing, network optimization, traffic engineering, information security, pattern recognition and digital forensic. He has been actively involved in research projects and published more than 120 refereed journal and conference papers, books, book chapters and technical reports. El-Alfy is a senior member of IEEE, associate editor of IEEE Transactions on Neural Networks and Learning Systems, associate editor of International Journal on Trust Management in Computing and Communications, associate editor of International Journal of Network Protocols and Algorithms, editor of Journal of Emerging Technologies in Web Intelligence (JETWI), editor of International Journal of Advanced Science and Technology.
Contents lists available at ScienceDirect
Computers and Electrical Engineering journal homepage: www.elsevier.com/locate/compeleceng
Guest editorial
Introduction to the special issue on Cognitive Radio Networks This special issue discusses various topics related to cognitive radio networks. This area has evolved over the past years with the goal to improve spectrum utilization in wireless networks. Several advances have been witnessed but still it is very active in research. The papers published in this special issue are refereed extended versions of selected best papers of the Second International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), held during August 22–25, 2013, in Mysore, India (http://icacci-conference.org/site). The selection criteria were on the basis of originality, technical contribution, and quality of presentation. The special issue also contains a few other selected papers. The papers spin around various research points in cognitive radio technology and networks such as spectrum and power allocation, channel reservation, spectrum sensing, and routing and channel selection. The organization of the special issue is as follows: The first paper, ‘‘Routing and Channel Selection from Cognitive Radio Network’s Perspective: A Survey’’ by Yasir Saleem, Farrukh Salim, and Mubashir H. Rehmani, discusses the challenges of joint channel selection and routing in cognitive radio networks. It also provides a comprehensive survey of various strategies and presents a case study for spectrum-aware dynamic channel assignment. Moreover, it highlights the guidelines for the development of efficient routing protocols. The second paper, ‘‘Primary User Behavior Aware Spectrum Allocation Scheme for Cognitive Radio Networks’’ by KyungGeun Lee, Saleem Aslam, and Adnan Shahid, proposes a joint channel selection and allocation scheme which is aware of the primary user (PU) behavior. After ranking channels utilizing the usage statistics of PUs, it employs a proportional fair oriented channel allocation scheme to allocate channels among cognitive radios. The paper also introduces the concept of time-varying framing process (TVFP) to minimize the overall data transmission time. The third paper, ‘‘Design and Analysis of Channel Reservation Scheme in Cognitive Radio Networks’’ by Tamal Chakraborty, and Iti S. Misra, studies the problem of channel reservation for licensed primary users. It evaluates the network parameters to obtain a tradeoff between the decrease in interference and the low spectrum utilization resulting from channel reservation. Additionally, it determines the optimal number of channels to be reserved and presents an analytical framework for VoIP applications in cognitive networks. The fourth paper, ‘‘Optimal and Suboptimal Adaptive Algorithms for Rate and Power Transmission in OFDM-Based Cognitive Radio Systems’’ by Reza Khederzadeh, and Hamid Farrokhi, considers the interference introduced by secondary users on the licensed bands and the total transmit power budget constraints. It also proposes a low-complexity suboptimal power allocation scheme and compares its performance with the optimal and existing algorithms including uniform loading and water filling algorithms. The fifth paper, ‘‘Field Programmable Gate Array Implementation of Spectrum Allocation Technique for Cognitive Radio Networks’’ by Kiran K. Anumandla, Rangababu Peesapati, and Samrat L. Sabat, presents a hardware implementation for spectrum allocation in cognitive networks using field-programmable gate arrays. The sixth paper, ‘‘Interference-Aware Spectrum Sensing Mechanisms in Cognitive Radio Networks’’ by Yao Yu, Zhaolong Ning, Qingyang Song, Yuhuai Peng, and Bo Zhang, focuses on spectrum sensing mechanisms which can improve the network throughput by the optimization and cooperative spectrum sensing. It considers various scenarios with both single and multiple secondary users with single and multiple channels and different sensing methods. The seventh paper, ‘‘Energy-Efficient Design of Channel Sensing in Cognitive Radio Networks’’ by Hang Hu, Hang Zhang, Hong Yu, Yi Chen, and Javad Jafarian, presents a novel spectrum sensing in cognitive networks for efficient use of the scarce energies available to secondary users. The optimization problem is solved for additive white Gaussian noise (AWGN) channels, Nakagami fading channels and Rayleigh fading channels. The eighth paper, ‘‘Optimized energy limited cooperative spectrum sensing in cognitive radio networks’’ by Masoud Moradkhani, Paeiz Azmi, and Mohammad Ali Pourmina considers the energy consumption problem in cooperative spectrum
http://dx.doi.org/10.1016/j.compeleceng.2015.03.009 0045-7906/Ó 2015 Published by Elsevier Ltd.
116
Guest editorial / Computers and Electrical Engineering 42 (2015) 115–116
sensing. It presents a scheme based on convex optimization analysis to jointly obtain the optimal values of sensing time and detection thresholds. Finally, the guest editors would like to thank the authors for their contributions which made this special issue possible. We would also like to thank the referees for their prompt response, critical evaluation and invaluable comments that helped authors improve their works significantly. Thanks to the editorial and publication staff at Elsevier for their dedication and support. Special thanks due to Dr. Manu Malek, the Editor-in-Chief of the Computers and Electrical Engineering journal, for his support and encouragement during the preparation of this special issue. Guest Editors Sabu M. Thampi Indian Institute of Information Technology and Management-Kerala (IIITM-K), India E-mail address: [email protected] El-Sayed M. El-Alfy King Fahd University of Petroleum and Minerals, Saudi Arabia E-mail address: [email protected] Sabu M. Thampi is working as Associate Professor at the Indian Institute of Information Technology and Management - Kerala (IIITM-K), Trivandrum, India. He has completed Ph.D. in Computer Engineering from National Institute of Technology Karnataka. His research interests include network security, security informatics, bio-inspired computing, very large databases, image forensics and distributed computing. He has edited few books published by reputed international publishers and published papers in academic journals and international and national proceedings. He is the founding Editor-in-Chief of International Journal of Trust Management in Computing and Communications (IJTMCC), Inderscience Publishers. He is a senior member of IEEE and member of IEEE Communication Society and ACM.
El-Sayed M. El-Alfy is working as Associate Professor and Coordinator of the Intelligent Systems Research Group, College of Computer Sciences and Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia. He is on leave from Tanta University, Egypt. His research areas include intelligent systems, mobile computing, network optimization, traffic engineering, information security, pattern recognition and digital forensic. He has been actively involved in research projects and published more than 120 refereed journal and conference papers, books, book chapters and technical reports. El-Alfy is a senior member of IEEE, associate editor of IEEE Transactions on Neural Networks and Learning Systems, associate editor of International Journal on Trust Management in Computing and Communications, associate editor of International Journal of Network Protocols and Algorithms, editor of Journal of Emerging Technologies in Web Intelligence (JETWI), editor of International Journal of Advanced Science and Technology.