Works (7)
Updated: July 5th, 2023 15:40
2015 journal article
On Topology and Resilience of Large-Scale Cognitive Radio Networks Under Generic Failures
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 14(6), 3390–3401.
author keywords: Resilience; cognitive radio networks; topology; generic failures
TL;DR:
This work first defines two metrics, namely the failure occurrence probability p and failure connection function g(·), to characterize node failures and their spreading properties, respectively, and proves that each blackhole is exponentially bounded based on percolation theory.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
2015 journal article
The Impact of Network Size and Mobility on Information Delivery in Cognitive Radio Networks
IEEE TRANSACTIONS ON MOBILE COMPUTING, 15(1), 217–231.
author keywords: Latency; cognitive radio networks; scalability; generic mobility
TL;DR:
This paper studies the end-to-end latency in CRNs to find the sufficient and necessary conditions for real-time applications in finite networks and large-scale deployments, and provides a general mobility framework which captures most characteristics of the existing mobility models and takes spatial heterogeneity into account.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
2013 conference paper
Understanding blackholes in large-scale cognitive radio networks under generic failures
2013 proceedings ieee infocom, 728–736.
TL;DR:
The topology of Cognitive Radio Networks is focused on and it is proved that each Blackhole is exponentially bounded based on percolation theory, and an upper bound on the expected size of Blackholes is derived.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2012 conference paper
On latency distribution and scaling: From finite to large cognitive radio networks under general mobility
2012 Proceedings IEEE infocom, 1287–1295.
TL;DR:
This paper studies the end-to-end latency in Cognitive Radio Networks and considers a general mobility framework that captures most characteristics of the existing models and accounts for spatial heterogeneity resulting from the scenario that some locations are more likely to be visited by mobile nodes.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2012 conference paper
On the connectivity of large multi-channel cognitive radio networks
2012 ieee international conference on communications (icc), 1854–1858.
TL;DR:
The sufficient and necessary condition to achieve full connectivity is λ = Θ(log n/πr2 Ps), where λ is the density, n is the number and r is the transmission range of secondary users respectively, and Ps is the probability that any two secondary users can communicate with each other without interfering with primary users.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2012 conference paper
Understanding the tempo-spatial limits of information dissemination in multi-channel cognitive radio networks
2012 Proceedings IEEE infocom, 1278–1286.
TL;DR:
The sufficient and necessary conditions under which there exist spatial and temporal limits of information dissemination in CRNs are determined and it is found that when information cannot be disseminated to the entire network, the limiting dissemination radius is statistically dominated by an exponential distribution, while the limiting information propagation speed approaches to zero.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2011 conference paper
on distribution and limits of information dissemination latency and speed in mobile cognitive radio networks
2011 proceedings ieee infocom, 246–250.
TL;DR:
It is shown that the dissemination latency depends on the stationary spatial distribution and mobility capability α (characterizing the region that a mobile secondary user can reach) of secondary users and that as the network grows to infinity, the latency asymptotically scales linearly with the “distance” between the source and the destination.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
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