scholarly journals Heterogeneous Cognitive Radio Sensor Networks for Smart Grid: Markov Analysis and Applications

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Ling Luo ◽  
Jian Zhou ◽  
Ping Ling ◽  
Sumit Roy ◽  
Zhiyong Chen ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Smart Grid ◽  
Blocking Probability ◽  
Service Rate ◽  
Spectrum Utilization ◽  
Queuing Model ◽  
Markov Analysis ◽  
Cognitive Radio Sensor Networks ◽  
Secondary Systems

Cognitive radio sensor networks (CRSN) have the potential to vastly improve spectrum utilization among heterogeneous applications for smart grid. To date, there has been little queueing theoretic modeling conducted of such systems that provide a quantitative estimate of the benefits from CRSN. We propose a novel queuing model which incorporates service rate and functional heterogeneity on the servers and implement preemptive priority among the varying service classes. Initially, we present a continuous-time Markov chain for performance analysis of CRSN for two colocated cognitive systems with various priority classes and bandwidth requirements. Closed form results for spectrum utilization, blocking probability, and optimal traffic intensities are then derived for the scenario of two heterogeneous secondary systems. A channel packing scheme is then proposed to pack smaller bandwidth users into clusters of adjacent channels to alleviate blockage of users requiring larger bandwidth requirements. Based on the numerical results of benefits of our scheme, we propose a feasible application for smart grid.

Secure and reliable surveillance over cognitive radio sensor networks in smart grid

2015 ◽  
Vol 22 ◽  
pp. 3-15 ◽  
Author(s):  
Uthpala Subodhani Premarathne ◽  
Ibrahim Khalil ◽  
Mohammed Atiquzzaman
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Smart Grid ◽  
Cognitive Radio Sensor Networks

Cognitive Radio Sensor Networks in Smart Grid

Smart Grid ◽  
2017 ◽  
pp. 29-51
Author(s):  
Ozgur Ergul ◽  
Oktay Cetinkaya ◽  
Ozgur Baris Akan
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Smart Grid ◽  
Cognitive Radio Sensor Networks

Spectrum-aware bio-inspired routing in cognitive radio sensor networks for smart grid applications

2017 ◽  
Vol 101 ◽  
pp. 106-120 ◽  
Author(s):  
E. Fadel ◽  
M. Faheem ◽  
V.C. Gungor ◽  
L. Nassef ◽  
N. Akkari ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Smart Grid ◽  
Cognitive Radio Sensor Networks ◽  
Grid Applications

scholarly journals Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid

2021 ◽  
Vol 17 (7) ◽  
pp. 155014772110283
Author(s):  
Emmanuel Ogbodo ◽  
David Dorrell ◽  
Adnan Abu-Mahfouz
Keyword(s):  
Quality Of Service ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Smart Grid ◽  
Sensor Network ◽  
Smart Grids ◽  
Cognitive Radio Sensor Networks ◽  
Cognitive Radio Sensor Network ◽  
Guaranteed Quality

The development of a modern electric power grid has triggered the need for large-scale monitoring and communication in smart grids for efficient grid automation. This has led to the development of smart grids, which utilize cognitive radio sensor networks, which are combinations of cognitive radios and wireless sensor networks. Cognitive radio sensor networks can overcome spectrum limitations and interference challenges. The implementation of dense cognitive radio sensor networks, based on the specific topology of smart grids, is one of the critical issues for guaranteed quality of service through a communication network. In this article, various topologies of ZigBee cognitive radio sensor networks are investigated. Suitable topologies with energy-efficient spectrum-aware algorithms of ZigBee cognitive radio sensor networks in smart grids are proposed. The performance of the proposed ZigBee cognitive radio sensor network model with its control algorithms is analyzed and compared with existing ZigBee sensor network topologies within the smart grid environment. The quality of service metrics used for evaluating the performance are the end-to-end delay, bit error rate, and energy consumption. The simulation results confirm that the proposed topology model is preferable for sensor network deployment in smart grids based on reduced bit error rate, end-to-end delay (latency), and energy consumption. Smart grid applications require prompt, reliable, and efficient communication with low latency. Hence, the proposed topology model supports heterogeneous cognitive radio sensor networks and guarantees network connectivity with spectrum-awareness. Hence, it is suitable for efficient grid automation in cognitive radio sensor network–based smart grids. The traditional model lacks these capability features.

Channel Bonding in Cognitive Radio Sensor Networks

2014 ◽  
pp. 99-126
Author(s):  
S. Hashim Bukhari ◽  
Mubashir Husain Rehmani ◽  
Sajid Siraj
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Spectrum Utilization ◽  
Available Bandwidth ◽  
Channel Bonding ◽  
Cognitive Radio Sensor Networks ◽  
Additional Processing ◽  
Effective Use

Wireless sensor networks have gained high importance in many fields, including military, industrial, and the consumer industry. It is due to the fact that these sensors can be deployed almost anywhere and communicate autonomously with each other and/or their gateway devices. Introducing cognitive radio capabilities into these sensor nodes can considerably improve the spectrum utilization, albeit on the cost of additional processing complexities and higher power consumption. In Cognitive Radio Sensor Networks (CRSNs), improving the process of channel bonding may enhance the overall efficiency and effective use of available bandwidth, thereby meeting the requirements of the network of wireless sensor nodes. This chapter discusses issues in the implementation of channel bonding in CRSNs and how to maximize the channel capacity without introducing any harmful interference. Additional constraints and challenges for CRSN nodes are discussed here as future directions and research.

scholarly journals Spectrum Handoff Method Based on Extenics for Cognitive Radio Sensor Networks

2016 ◽  
Vol 12 (03) ◽  
pp. 36 ◽  
Author(s):  
Yonghua Wang ◽  
Pin Wan ◽  
Sheng Ouyang ◽  
Fei Yuan ◽  
Yuli Fu
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Utilization Efficiency ◽  
Spectrum Utilization ◽  
Channel State ◽  
Spectrum Handoff ◽  
Decision Method ◽  
Cognitive Radio Sensor Networks ◽  
Status Information ◽  
Simulation Results

A spectrum handoff model and optimal channel decision method based on Extenics have been proposed in order to resolve the optimal channel decision problem of spectrum handoff in Cognitive Radio Sensor Networks. The method of matter-element Extenics is used to analyses the spectrum handoff process. The channel state through the spectrum sensing and status information of the primary users is analyzed and transformed by matter-element Extenics. Then the parameters to determine the best channel are calculated on the basis of Extenics correlation function. Finally the optimal channel is selected. The simulation results show that the proposed method can improve spectrum utilization efficiency of Cognitive Radio Sensor Networks and can reduce the interrupt probability of second users.

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