Quality of service provisioning through resource optimisation in heterogeneous cognitive radio sensor networks

2021 ◽  
Vol 165 ◽  
pp. 122-130
Author(s):  
Babatunde S. Awoyemi ◽  
Bodhaswar T. Maharaj
Keyword(s):  
Quality Of Service ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Service Provisioning ◽  
Cognitive Radio Sensor Networks ◽  
Quality Of Service Provisioning

scholarly journals Quality of Service Provisioning in Cognitive Radio

2017 ◽  
Vol 10 (04) ◽  
pp. 780-787 ◽  
Author(s):  
Nisar Lala ◽  
Altaf Balkhi ◽  
G. M. Mir ◽  
R. A. Simnani
Keyword(s):  
Quality Of Service ◽  
Cognitive Radio ◽  
Fuzzy Inference ◽  
User Mobility ◽  
Service Provisioning ◽  
Inference System ◽  
Future Technology ◽  
Qos Parameters ◽  
Quality Of Service Provisioning

Cognitive radio is a future technology coined for increasing the utilization of otherwise under-utilized spectrum channels. Providing quality of service (QoS) to diverse flows as per their requirements is a very difficult job as there is no dedicated allocation of wireless channels in cognitive radio (CR) network. The paper selects few critical QoS parameters such as signal-strength, bandwidth and user-mobility that assess the influence on quality of communication between users using rule-based fuzzy inference system. The analytical results show the influence of those QoS parameters on the quality of communicating channels and open new issues in designing protocol structure for CR.

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.

A quality of service distributed optimizer for Cognitive Radio Sensor Networks

2015 ◽  
Vol 22 ◽  
pp. 71-89 ◽  
Author(s):  
Tarek M. Salem ◽  
Salah Abdel-Mageid ◽  
Sherine M. Abd El-kader ◽  
Mohamed Zaki
Keyword(s):  
Quality Of Service ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Cognitive Radio Sensor Networks
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