ICSSSS: An intelligent channel selection scheme for cognitive radio ad hoc networks using a self organized map followed by simple segregation

Salem, Tarek M.; Abdel-Mageid, Salah; Abdel-Kader, Sherine M.; Zaki, Mohamed H.

doi:10.1016/j.pmcj.2016.06.008

Cited by 12 publications

(3 citation statements)

References 20 publications

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“…Likewise, in CR network, each time a CR-UE turns on or switches a frequency channel, it executes what is called a "listenand-talk" operation in order to detect any possible PUs transmissions and to discover other potential neighbor (CR-relay) nodes in its radio territory with which to establish a routing path to intended destination [103]. Although each CR-node in the network has a DOF to dynamically select any available spectrum band via the DSA, the CR-nodes are required to carefully sense the channel(s) of all their neighboring relay node(s) and this is known as external channel sensing which potentially increases the number of channels to be scanned in the process [104,105]. Moreover, because of the rapid changing nature of the nodes in heterogeneous multi-hop CR networks, the CR-nodes can switch to new channels even within the discovery interval [106].…”

Section: Neighbor Discovery Co-ordination Challengementioning

confidence: 99%

On Platform to Enable the Cognitive Radio Over 5G Networks

Hindia

Qamar

Ojukwu

et al. 2020

Wireless Pers Commun

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With the increase in the number of communication devices, the requirement for higher bandwidth is essential. To achieve this goal, research and industrial communities have both suggested that future wireless systems will take advantage of the numerous emerging technologies. Utilization of Cognitive Radio (CR) for the next-generation Fifth Generation (5G) communication technology is the major advancement for getting a higher bandwidth in a cellular communication network. In this paper, we present a comprehensive study of CR from the perspectives of spectrum allocation schemes, impact and role of MAC layer in spectrum sensing and sharing, CR application in multi-hop wireless networks, and challenges associated with channel selection and packet routing in multi-hop heterogeneous CR networks. This paper also presents the analysis, in literature, of a range of intelligent routing protocols that are considered viable for packets routing in CR networks. The need to address the issue of spectrum depletion and the apparent underutilization of available scarce spectrum resources in existing wireless networks is the primary motivation behind this study. Considering the fact that CR technology can potentially maximize the utilization of bulk of the unused communication spectrum bands for the future 5G of wireless network and beyond.

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Section: Neighbor Discovery Co-ordination Challengementioning

confidence: 99%

On Platform to Enable the Cognitive Radio Over 5G Networks

Hindia

Qamar

Ojukwu

et al. 2020

Wireless Pers Commun

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“…The channels are classified into four clusters by using SOM learner that helps CR to select the available channels by minimizing the sensing error. Thus, the best one is selected for secondary users out of these channels through using a simple segregated channel selector in a reasonable time [30].…”

Section: Related Workmentioning

confidence: 99%

“…These inputs are the three mentioned features of each channel, while the outputs cluster the spectrum channels according to their states into four groups (correct OFF, correct ON, FA, and MD). Each channel state is expressed by one vector as shown in Table 1 [30]. The correct OFF cluster covers the samples that show the OFF sensing without any interference from internal or external PU expressed by the vector (000).…”

Section: K-means Unsupervised Learning Techniquementioning

confidence: 99%

ILFCS: an intelligent learning fuzzy-based channel selection framework for cognitive radio networks

Arnous

El-Desouky

Sarhan

et al. 2018

J Wireless Com Network

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Cognitive radio networks (CRNs) have been introduced as a promising solution to optimize the use of available radio-frequency spectrum. The key idea in CRNs is the proper selection of available sensed channels. In this paper, an intelligent distributed channel selection strategy is proposed for cognitive radio ad-hoc networks aiming to assist them in selecting the best channel for transmission. The proposed strategy classifies the available channels based on the primary users'(PUs) utilization, the number of cognitive radio neighbors using the channels, and the capacity of available channels. The Fuzzy Logic technique is used to determine a channel's weight value by combining these parameters. The channels with the highest weight value are selected for transmission. The proposed strategy takes into account false alarm (FA) and miss detection (MD) metrics to classify the sensed channels into four categories (FA, MD, ON and OFF) based on K-means learner. This classification helps the strategy to avoid accessing occupied channels. Simulation results based on NS2 simulation approved that the proposed strategy is effective compared to other strategies concerning selecting the best channel and achieving higher channel utilization.

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An Efficient Best Fit Channel Switching (BFCS) Scheme for Cognitive Radio Networks

Grover¹,

Bali²

2018

Communications in Computer and Information Science

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ICSSSS: An intelligent channel selection scheme for cognitive radio ad hoc networks using a self organized map followed by simple segregation

Cited by 12 publications

References 20 publications

On Platform to Enable the Cognitive Radio Over 5G Networks

On Platform to Enable the Cognitive Radio Over 5G Networks

ILFCS: an intelligent learning fuzzy-based channel selection framework for cognitive radio networks

An Efficient Best Fit Channel Switching (BFCS) Scheme for Cognitive Radio Networks

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