Over the past decade, cognitive radio has been an active area of research, bringing together researchers and practitioners from engineering, computer science, policy development, among other varied fields. Recent governmental regulations, standardization efforts, as well as industry prototypes have given further impetus to this technology, thus helping the transition of such radios from the laboratory to the commercial realm. The aim of this special issue is to explore the advances in the core technology as well as the challenges involved in realizing some of the applications that are made possible through distributed cognitive radio networks, a paradigm in which each node shares the responsibility of perceiving and reacting to local environmental conditions. There are 10 papers in this special issue, seven selected from an open call, and three invited papers. As guest editors of this issue, we are delighted to present works that cover a comprehensive breadth of topics, ranging from spectrum selection, spectrum decision, routing, power control, all critical enabling functions of the cognitive radio. Furthermore, this issue explores the concerns of high bandwidth multimedia delivery as well as security, which are two important topics that we believe will drive future research in this space. Along with applications, there is also a focus on modeling and analysis of such distributed cognitive radio networks, which will serve as valuable tools for future generations of network designers. The first set of the papers mentioned below is chosen from the open call, on the basis of a rigorous peer review. There are two critical approaches that may be adopted for protection to licensed users: power control in a shared channel, and selection of an entirely different channel. The first of these is used in [1] through a mobility driven power control framework for cognitive radios based on spectrum sensing, which ensures that the interference limit at the licensed receiver is respected. This work considers realistic concerns of distance dependent path loss and correlated shadowing for selecting the transmission power. The next few papers focus on spectrum sensing. A fusion role for making a collaborative spectrum decision is implemented in [2] where a node’s own local measurements of the signal to noise ratio (SNR) is compared with
[1]
Özgür B. Akan,et al.
Delay-sensitive and multimedia communication in cognitive radio sensor networks
,
2012,
Ad Hoc Networks.
[2]
Olasunkanmi Durowoju,et al.
Distributed power control algorithm for cognitive radios with primary protection via spectrum sensing under user mobility
,
2012,
Ad Hoc Networks.
[3]
Suzan Bayhan,et al.
Distributed channel selection in CRAHNs: A non-selfish scheme for mitigating spectrum fragmentation
,
2012,
Ad Hoc Networks.
[4]
Janne Riihijarvi,et al.
A spatial statistics approach to characterizing and modeling the structure of cognitive wireless networks
,
2012,
AdhocNets 2012.
[5]
Naixue Xiong,et al.
Nodes organization for channel assignment with topology preservation in multi-radio wireless mesh networks
,
2012,
Ad Hoc Networks.
[6]
Berk Canberk,et al.
A dynamic and weighted spectrum decision mechanism based on SNR Tracking in CRAHNs
,
2012,
Ad Hoc Networks.
[7]
Larry J. Greenstein,et al.
Detecting anomalous spectrum usage in dynamic spectrum access networks
,
2012,
Ad Hoc Networks.
[8]
Jordi Pérez-Romero,et al.
Dynamic cooperator selection in cognitive radio networks
,
2012,
Ad Hoc Networks.
[9]
Haris Volos,et al.
Wireless distributed computing in cognitive radio networks
,
2012,
Ad Hoc Networks.
[10]
Luigi Paura,et al.
Reactive routing for mobile cognitive radio ad hoc networks
,
2012,
Ad Hoc Networks.