A corner truncated fractal slot ultrawide spectrum sensing antenna for wireless cognitive radio sensor network

2020 ◽  
Author(s):  
Pankaj Kumar Goswami ◽  
Garima Goswami
Keyword(s):  
Cognitive Radio ◽  
Sensor Network ◽  
Spectrum Sensing ◽  
Cognitive Radio Sensor Network

scholarly journals Energy-Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor Network

2017 ◽  
Vol 66 (1) ◽  
pp. 831-843 ◽  
Author(s):  
Deyu Zhang ◽  
Zhigang Chen ◽  
Ju Ren ◽  
Ning Zhang ◽  
Mohamad Khattar Awad ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Sensor Network ◽  
Spectrum Sensing ◽  
Data Transmission ◽  
Cognitive Radio Sensor Network

Energy Efficient k-hop Clustering in Cognitive Radio Sensor Network for Internet of Things

2021 ◽  
pp. 1-1
Author(s):  
Rajendra Prajapat ◽  
Ram Narayan Yadav ◽  
Rajiv Misra
Keyword(s):  
Cognitive Radio ◽  
Internet Of Things ◽  
Sensor Network ◽  
Energy Efficient ◽  
Cognitive Radio Sensor Network

scholarly journals Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2997
Author(s):  
Md. Tahidul Islam ◽  
Sithamparanathan Kandeepan ◽  
Robin. J. Evans
Keyword(s):  
Cognitive Radio ◽  
Sensor Network ◽  
Dynamic Network ◽  
Optimal Number ◽  
Matlab Simulation ◽  
Cognitive Radio Sensor Network ◽  
Rendezvous Technique ◽  
Central Controller ◽  
Blind Rendezvous ◽  
Analytical Expressions

In a distributed cognitive radio (CR) sensor network, transmission and reception on vacant channels require cognitive radio nodes to achieve rendezvous. Because of the lack of adequate assistance from the network environment, such as the central controller and other nodes, assisted rendezvous for distributed CR is inefficient in a dynamic network. As a result, non-assisted blind rendezvous, which is unaware of its counterpart node, has recently led to a lot of interest in the research arena. In this paper, we study a channel rendezvous method based on prime number theory and propose a new multi-radio-based technique for non-assisted rendezvous with the blind and heterogeneous condition. The required time and the optimal number of radios for the guaranteed rendezvous are calculated using probability-based measurement. Analytical expressions for probabilistic guaranteed rendezvous conditions are derived and verified by Monte Carlo simulation. In addition, the maximum time to rendezvous (MTTR) is derived in closed form using statistical and probabilistic analysis. Under different channel conditions, our proposed solution leads to a substantial time reduction for guaranteed rendezvous. For the sake of over-performance of our proposed system, the simulation outcome is compared to a recently proposed heterogeneous and blind rendezvous method. The Matlab simulation results show that our proposed system’s MTTR gains range from 11% to over 95% for various parametric values of the system model.

Cognitive Radio Sensor Networks

2014 ◽  
pp. 160-195 ◽  
Author(s):  
Ejaz Ahmed ◽  
Salman Ali ◽  
Adnan Akhunzada ◽  
Ibrar Yaqoob
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Sensor Network ◽  
Ad Hoc ◽  
Network Communication ◽  
Ad Hoc Routing ◽  
Medium Access ◽  
Cognitive Radio Sensor Networks ◽  
Cognitive Radio Sensor Network ◽  
Network Operation

This chapter provides a review of design practices in network communication for Cognitive Radio Sensor Networks. The basics of networking and Medium Access Control functionalities with focus on data routing and spectrum usage are discussed. Technical differences manifest in various network layouts, hence the role of various specialized nodes, such as relay, aggregator, or gateway in Cognitive Radio Sensor Networks need analysis. Optimal routing techniques suitable for different topologies are also summarized. Data delivery protocols are categorized under priority-based, energy-efficient, ad hoc routing-based, attribute-based, and location-aware routing. Broadcast, unicast, and detection of silence periods are discussed for network operation with slotted or unslotted time. Efficient spectrum usage finds the most important application here involving use of dynamic, opportunistic, and fixed spectrum usage. Finally, a thorough discussion on the open issues and challenges for Cognitive Radio Sensor Network communication and internetworking in Cognitive Radio Sensor Network-based deployments and methods to address them are provided.

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