Topic
Cognitive network
About: Cognitive network is a research topic. Over the lifetime, 4213 publications have been published within this topic receiving 107093 citations.
Papers published on a yearly basis
Papers
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19 May 2008TL;DR: An opportunistic cognitive MAC protocol (OC-MAC) for cognitive radios to access unoccupied resource opportunistically and coexist with wireless local area network (WLAN) and cognitive network by a primary traffic predication model and transmission etiquette.
Abstract: In last decades, the demand of wireless spectrum has increased rapidly with the development of mobile communication services. Recent studies recognize that traditional fixed spectrum assignment does not use spectrum efficiently. Such a wasting phenomenon could be amended after the present of cognitive radio. Cognitive radio is a new type of technology that enables secondary usage to unlicensed user. This paper presents an opportunistic cognitive MAC protocol (OC-MAC) for cognitive radios to access unoccupied resource opportunistically and coexist with wireless local area network (WLAN). By a primary traffic predication model and transmission etiquette, OC-MAC avoids producing fatal damage to licensed users. Then a ns2 simulation model is developed to evaluate its performance in scenarios with coexisting WLAN and cognitive network.
65 citations
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25 Jul 200764 citations
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TL;DR: The Social Internet of Things (SIoT) paradigm is proposed, according to which objects are capable of establishing social relationships in an autonomous way, with respect to the rules set by their owners, to enable faster and trustworthy information/service discovery exploiting the social network of “friend” objects.
Abstract: Cognitive radio (CR) represents the proper technological solution in case of radio resources scarcity and availability of shared channels. For the deployment of CR solutions, it is important to implement proper sensing procedures, which are aimed at continuously surveying the status of the channels. However, accurate views of the resources status can be achieved only through the cooperation of many sensing devices. For these reasons, in this paper, we propose the utilization of the Social Internet of Things (SIoT) paradigm, according to which objects are capable of establishing social relationships in an autonomous way, with respect to the rules set by their owners. The resulting social network enables faster and trustworthy information/service discovery exploiting the social network of “friend” objects. We first describe the general approach according to which members of the SIoT collaborate to exchange channel status information. Then, we discuss the main features, i.e., the possibility to implement a distributed approach for a low-complexity cooperation and the scalability feature in heterogeneous networks. Simulations have also been run to show the advantages in terms of increased capacity and decreased interference probability.
64 citations
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21 Jun 2010
TL;DR: The use of cognitive radio network for smart grid is for the first time proposed in this paper and this unique testbed is ideal for such purpose.
Abstract: A real-time cognitive radio network testbed is being built. This is the first paper to capture the overall picture of this project. Project scope and philosophy, design architecture, hardware platform, and key algorithms are reported. The use of cognitive radio network for smart grid is for the first time proposed in this paper. This unique testbed is ideal for such purpose.
63 citations
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29 Aug 2009TL;DR: A trust management protocol for cognitive mission-driven group communication systems in mobile ad hoc networks (MANETs) using hierarchical modeling techniques based on stochastic Petri nets is developed and it is demonstrated that an optimal trust chain exists for maximizing the trust metric.
Abstract: We develop and analyze a trust management protocol for cognitive mission-driven group communication systems (GCSs) in mobile ad hoc networks (MANETs) using hierarchical modeling techniques based on stochastic Petri nets. The goal is to efficiently establish acceptable trust levels among mobile nodes without prior interactions. We seek to identify the optimal length of a trust chain among peers in a trust web so as to maximize the trust levels for peers on the trust chain, by trading off trust space for trust level. The cognitive nodes in the network can dynamically adapt to changing network environments by adjusting their design parameter settings over time to establish an acceptable trust level with other nodes. We define a trust metric that captures unique characteristics of trust concepts in such MANETs. We demonstrate that an optimal trust chain exists for maximizing the trust metric.
63 citations