scholarly journals Cognitive Radio Networks for Internet of Things and Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5288
Author(s):  
Heejung Yu ◽  
Yousaf Bin Zikria
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Wireless Sensor ◽  
Next Generation ◽  
5G Networks ◽  
Continuous Growth

Recent innovation, growth, and deployment of internet of things (IoT) networks are changing the daily life of people. 5G networks are widely deployed around the world, and they are important for continuous growth of IoT. The next generation cellular networks and wireless sensor networks (WSN) make the road to the target of the next generation IoT networks. The challenges of the next generation IoT networks remain in reducing the overall network latency and increasing throughput without sacrificing reliability. One feasible alternative is coexistence of networks operating on different frequencies. However, data bandwidth support and spectrum availability are the major challenges. Therefore, cognitive radio networks (CRN) are the best available technology to cater to all these challenges for the co-existence of IoT, WSN, 5G, and beyond-5G networks.

Applications of Independent Component Analysis in Cognitive Radio Sensor Networks

2016 ◽  
pp. 1173-1202
Author(s):  
Zahooruddin ◽  
Ayaz Ahmad ◽  
Muhammad Iqbal ◽  
Farooq Alam ◽  
Sadiq Ahmad
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Independent Component Analysis ◽  
Cognitive Radio Networks ◽  
Component Analysis ◽  
Radio Networks ◽  
Independent Component ◽  
Wireless Sensor ◽  
Cognitive Radio Sensor Networks

Independent component analysis is extensively used for blind source separation of different signals in various engineering disciplines. It has its applications in several areas of communication, multiple input multiple output, orthogonal frequency division multiplexing, wireless sensor networks, and cognitive radio networks. In this chapter, the authors discuss the general theory of independent component analysis, wireless sensor networks, cognitive radio networks, and cognitive radio sensor networks. The main focus of the chapter is the application of independent component analysis in cognitive radio networks, wireless sensor networks, and cognitive radio sensor networks. The issues and challenges of these emerging technologies are discussed while applying independent component analysis. Cognitive radio sensor network is a promising technology to efficiently resolve the issues of spectrum usage in sensor networks. The authors are the first to discuss the applications of independent component analysis in cognitive radio sensor networks. At the end of this chapter, they discuss some future research problems regarding the applications of independent component analysis in cognitive radio sensor networks.

Applications of Independent Component Analysis in Cognitive Radio Sensor Networks

2014 ◽  
pp. 259-287
Author(s):  
Zahooruddin ◽  
Ayaz Ahmad ◽  
Muhammad Iqbal ◽  
Farooq Alam ◽  
Sadiq Ahmad
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Independent Component Analysis ◽  
Cognitive Radio Networks ◽  
Component Analysis ◽  
Radio Networks ◽  
Independent Component ◽  
Wireless Sensor ◽  
Cognitive Radio Sensor Networks

Independent component analysis is extensively used for blind source separation of different signals in various engineering disciplines. It has its applications in several areas of communication, multiple input multiple output, orthogonal frequency division multiplexing, wireless sensor networks, and cognitive radio networks. In this chapter, the authors discuss the general theory of independent component analysis, wireless sensor networks, cognitive radio networks, and cognitive radio sensor networks. The main focus of the chapter is the application of independent component analysis in cognitive radio networks, wireless sensor networks, and cognitive radio sensor networks. The issues and challenges of these emerging technologies are discussed while applying independent component analysis. Cognitive radio sensor network is a promising technology to efficiently resolve the issues of spectrum usage in sensor networks. The authors are the first to discuss the applications of independent component analysis in cognitive radio sensor networks. At the end of this chapter, they discuss some future research problems regarding the applications of independent component analysis in cognitive radio sensor networks.

scholarly journals COMPREHENSIVE SURVEY OF WIRELESS COGNITIVE AND 5G NETWORKS

2019 ◽  
Vol 01 (01) ◽  
pp. 23-32 ◽  
Author(s):  
Valanarasu R ◽  
Christy A
Keyword(s):  
Cognitive Radio ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Energy Utilization ◽  
5G Networks ◽  
Bandwidth Utilization ◽  
Continuous Growth ◽  
Communication Devices ◽  
Comprehensive Survey ◽  
Wireless Mobile Communication

The tremendous progress in the wireless mobile communication devices and the continuous growth in the data rates and the usage with the entailment of enhanced performance in the network in the terms of the throughput, delay, energy utilization, data capacity, bandwidth utilization and the cost have led to the emergence of the 5G networks. The flexible transmission empowered by the cognitive radio networks make them prominent in the transmission of the applications that are significant and sensitive to latency. The paper surveys the details of the 5G network, the cognitive radio networks and the impacts in the network by having the cognitive radio in the 5G mobile wireless networks.

scholarly journals Problems of Powering End Devices in Wireless Networks of the Internet of Things

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2417
Author(s):  
Andrzej Michalski ◽  
Zbigniew Watral
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Wireless Sensor ◽  
Alternative Possibilities ◽  
The Internet ◽  
Power Sources ◽  
Wide Range ◽  
The Internet Of Things

This article presents the problems of powering wireless sensor networks operating in the structures of the Internet of Things (IoT). This issue was discussed on the example of a universal end node in IoT technology containing RFID (Radio Frequency Identification) tags. The basic methods of signal transmission in these types of networks are discussed and their impact on the basic requirements such as range, transmission speed, low energy consumption, and the maximum number of devices that can simultaneously operate in the network. The issue of low power consumption of devices used in IoT solutions is one of the main research objects. The analysis of possible communication protocols has shown that there is a possibility of effective optimization in this area. The wide range of power sources available on the market, used in nodes of wireless sensor networks, was compared. The alternative possibilities of powering the network nodes from Energy Harvesting (EH) generators are presented.

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