scholarly journals A COMPREHENSIVE SURVEY ON CHANNEL BONDING TECHNIQUES IN WIRELESS SENSOR NETWORKS AND FUTURISTIC COGNITIVE RADIO NETWORKS

2020 ◽  
Vol 15 (9) ◽  
Author(s):  
Atif Ishtiaq
Keyword(s):  
Wireless Sensor Networks ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Wireless Sensor ◽  
Channel Bonding ◽  
Comprehensive Survey

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 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.

scholarly journals A Comparative Study of Target Tracking Approaches in Wireless Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Asmaa Ez-Zaidi ◽  
Said Rakrak
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Directions ◽  
Wide Range ◽  
Comprehensive Survey ◽  
The Subject ◽  
Intense Research

Wireless sensor networks have been the subject of intense research in recent years. Sensor nodes are used in wide range of applications such as security, military, and environmental monitoring. One of the most interesting applications in wireless sensor networks is target tracking, which mainly consists in detecting and monitoring the motion of mobile targets. In this paper, we present a comprehensive survey of target tracking approaches. We then analyze them according to several metrics. We also discuss some of the challenges that influence the performance of tracking schemes. In the end, we conduct detailed analysis and comparison between these algorithms and we conclude with some future directions.

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