Topic
Cognitive network
About: Cognitive network is a research topic. Over the lifetime, 4213 publications have been published within this topic receiving 107093 citations.
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TL;DR: Simulative analysis shows the performance of the proposed protocol in the various environmental conditions, which shows that the Proposed CROP outperforms the available competing Cognitive Radio routing protocols.
18 citations
TL;DR: This article studies the cognitive access in convergence communications and considers energy efficiency as the optimal objective to turn the energy-efficient cognitive access into an optimal problem, which can significantly improve networks’ energy efficiency.
Abstract: This article studies the cognitive access in convergence communications. Convergence communications provide upper-layer applications with uniform communication service, converging different lower-layer networks into a uniform access pattern such as all-IP communications. As an import access in convergence communications, the cognitive access provides users with a flexible and dynamic access to networks. In this article, we do not only take into account the spectrum usage of convergence communication networks, but also consider theirs energy efficiency. An energy-efficient access algorithm is proposed to improve network performance and efficiency. Different from the existing cognitive access, we regard energy efficiency as the optimal objective to turn the energy-efficient cognitive access into an optimal problem. The collision avoidance and sleeping mechanisms are used to reduce energy consumption and raise network throughput. The utility function is proposed to maximize networks’ energy efficiency and then achieve the energy-efficient cognitive access. Simulation results show that the proposed approach is effective and feasible, which can significantly improve networks’ energy efficiency.
18 citations
TL;DR: A fast swarming approach is proposed, robust to random disturbances, that adapts its behavior with respect to the interference power perceived by every node, thus increasing the speed of convergence and improving the resource allocation capabilities.
Abstract: This paper proposes a distributed resource assignment strategy for cognitive networks mimicking a swarm foraging mechanism, assuming that the communication among the cognitive nodes is impaired by random link failures and quantization noise. Using results from stochastic approximation theory, we propose a swarm mechanism that converges almost surely to a final allocation even in the presence of imperfect communication scenarios. The theoretical findings are corroborated by numerical results showing that the only effect of the random link failures is to decrease the convergence rate of the algorithm. We propose then a fast swarming approach, robust to random disturbances, that adapts its behavior with respect to the interference power perceived by every node, thus increasing the speed of convergence and improving the resource allocation capabilities.
18 citations
Proceedings Article•
01 Oct 2008TL;DR: In this article, a framework for security using fast authentication and authorization architecture is proposed for cognitive networks (CNs) in which the security and privacy requirements, threat analysis and threat analysis are presented.
Abstract: Cognitive networks are intelligent networks that can automatically sense the environment and adapt the communication parameters accordingly These types of networks have applications in dynamic spectrum access (DSA), co-existence of different wireless networks, interference management, etc They are thought to drive the next generation of devices, protocols and applications Clearly, the cognitive network paradigm poses many new technical challenges in protocol design, power efficiency, spectrum management, spectrum detection, environment awareness, new distributed algorithm design, distributed spectrum measurements, QoS guarantees, and security Overcoming these issues becomes even more challenging due to non-uniform spectrum and other radio resource allocation policies, economic considerations, the inherent transmission impairments of wireless links, and user mobility This paper will discuss the research challenges for security in cognitive networks (CNs) [1, 2] It will present the security, and privacy requirements, threat analysis and finally proposes a framework for security using fast authentication and authorization architecture
18 citations
TL;DR: The implications of facilitating higher energy efficiency in cognitive radio networks from the perspective of fundamental trade-offs are discussed, identified as QoS, fairness, PU interference, network architecture, and security which are also essential network design dimensions.
Abstract: This article discusses the implications of facilitating higher energy efficiency in cognitive radio networks from the perspective of fundamental trade-offs (i.e, what needs to be sacrificed to be energy-efficient). These trade-offs are identified as QoS, fairness, PU interference, network architecture, and security, which are also essential network design dimensions. We analyze these dimensions and their interactions focusing on energy efficiency. Furthermore, future research directions related to the integration of CRN with other networking paradigms and energy efficiency are introduced and discussed.
18 citations