Intelligence in Wireless Networks with Cognitive Radio Networks!

2013 ◽  
Vol 30 (1) ◽  
pp. 6 ◽  
Author(s):  
Satwant Kaur
Keyword(s):  
Wireless Networks ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks

A survey on network coding: From traditional wireless networks to emerging cognitive radio networks

2014 ◽  
Vol 46 ◽  
pp. 166-181 ◽  
Author(s):  
Muhammad Zubair Farooqi ◽  
Salma Malik Tabassum ◽  
Mubashir Husain Rehmani ◽  
Yasir Saleem
Keyword(s):  
Wireless Networks ◽  
Cognitive Radio ◽  
Network Coding ◽  
Cognitive Radio Networks ◽  
Radio Networks

scholarly journals Intelligent and efficient development of wireless networks: A review of cognitive radio networks

2012 ◽  
Vol 57 (28-29) ◽  
pp. 3662-3676 ◽  
Author(s):  
Ping Zhang ◽  
Yang Liu ◽  
ZhiYong Feng ◽  
QiXun Zhang ◽  
Qian Li ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks

A Backbone Formation Protocol Using Minimum Spanning Tree in Cognitive Radio Networks

2020 ◽  
pp. 211-223
Author(s):  
Santosh Kumar ◽  
Awadhesh Kumar Singh
Keyword(s):  
Wireless Networks ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Spanning Tree ◽  
Minimum Spanning Tree ◽  
Radio Networks ◽  
Research Articles ◽  
Iterative Approach ◽  
Dynamic Maintenance ◽  
Message Overhead

Numerous research articles exist for backbone formation in wireless networks; however, they cannot be applied straightforward in cognitive radio networks (CRN) due to its peculiar characteristics. Since virtual backbone has many advantages such as reduced routing overhead, dynamic maintenance, and fast convergence speed, the authors propose a backbone formation protocol in CRN. In this chapter, a backbone formation protocol is proposed using the concept of minimum spanning tree. The protocol is based on non-iterative approach, thus leading towards limited message overhead. The proposed algorithm first forms the minimum spanning tree, and second, the nodes having more than one neighbor are connected together to form the backbone.

scholarly journals Spectrum sharing in cognitive radio networks

2020 ◽  
Vol 10 (6) ◽  
pp. 6472
Author(s):  
Julian Martinez ◽  
Cesar Hernandez ◽  
Luis Pedraza
Keyword(s):  
Wireless Networks ◽  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Mobile Networks ◽  
Spectrum Sharing ◽  
Research Area ◽  
Radio Networks ◽  
Significant Progress ◽  
Current State ◽  
Increasing Demand

Cognitive radio networks are the next step to tackle scarcity in wireless networks given the increasing demand of radioelectric spectrum where the proposed solution is to share said resource to improve this situation. In the present article, a review of the current state of spectrum sharing in cognitive radio networks. To achieve this purpose, the articles published over the last 4 years on the matter were reviewed including topics such as mobile networks and TV. Some studies and simulations proposed to share the spectrum is shown. The current state of the studies reveals that there has been significant progress in this research area yet it is necessary to continue similar studies and set in motion different schemes.

Exact Optimum RAN Selection Algorithm for Heterogeneous-Type Cognitive Radio Networks

2014 ◽  
Vol 1 ◽  
pp. 652-655
Author(s):  
Takumi.Matsui Takumi.Matsui ◽  
Mikio.Hasegawa Mikio.Hasegawa ◽  
Hiroshi.Hirai Hiroshi.Hirai ◽  
Kiyohito.Nagano Kiyohito.Nagano ◽  
Kazuyuki.Aihara Kazuyuki.Aihara
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Selection Algorithm
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