Distributed Artificial Intelligence Empowered Sustainable Cognitive Radio Sensor Networks: A Smart City on-demand Perspective

2021 ◽  
pp. 103265
Author(s):  
Li Manman ◽  
Pratik Goswami ◽  
Proshikshya Mukherjee ◽  
Amrit Mukherjee ◽  
Lixia Yang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Smart City ◽  
Distributed Artificial Intelligence ◽  
On Demand ◽  
Cognitive Radio Sensor Networks

Artificial intelligence inspired energy and spectrum aware cluster based routing protocol for cognitive radio sensor networks

2020 ◽  
Vol 142 ◽  
pp. 90-105 ◽  
Author(s):  
Thompson Stephan ◽  
Fadi Al-Turjman ◽  
K. Suresh Joseph ◽  
Balamurugan Balusamy ◽  
Sweta Srivastava
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Cognitive Radio Sensor Networks ◽  
Cluster Based Routing

scholarly journals An Energy-Efficient Spectrum-Aware Reinforcement Learning-Based Clustering Algorithm for Cognitive Radio Sensor Networks

Sensors ◽  
2015 ◽  
Vol 15 (8) ◽  
pp. 19783-19818 ◽  
Author(s):  
Ibrahim Mustapha ◽  
Borhanuddin Ali ◽  
Mohd Rasid ◽  
Aduwati Sali ◽  
Hafizal Mohamad
Keyword(s):  
Reinforcement Learning ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Cognitive Radio Sensor Networks

scholarly journals Downlink and Uplink Cooperative Transmission for Primary Secrecy Based Cognitive Radio Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-14
Author(s):  
Dawei Wang ◽  
Pinyi Ren ◽  
Qinghe Du ◽  
Li Sun ◽  
Yichen Wang
Keyword(s):  
Cognitive Radio ◽  
Sensor Networks ◽  
Optimization Problems ◽  
Transmission Rate ◽  
Cooperative Relaying ◽  
Cooperative Transmission ◽  
Primary System ◽  
Transmit Power ◽  
Cognitive Radio Sensor Networks ◽  
Secure Transmission

Aiming at allocating more licensed spectrum to wireless sensor nodes (SNs) under the constraint of the information security requirement of the primary system, in this paper, we propose a cooperative relaying and jamming secure transmission (CRJS) scheme in which SNs will relay primary message and jam primary eavesdrop concurrently with SN’s downlink and uplink information transmission in cognitive radio sensor networks (CRSNs). In our proposed CRJS scheme, SNs take advantages of physical layer secure technologies to protect the primary transmission and acquire some interference-free licensed spectrum as a reward. In addition, both decode-and-forward (DF) and amplify-and-forward (AF) relaying protocols are investigated in our proposed CRJS scheme. Our object is to maximize the transmission rate of SNs by optimal allocating of the relaying power, jamming power, and downlink and uplink transmit power under the target secure transmission rate requirement of the primary system. Moreover, two suboptimal algorithms are proposed to deal with these optimization problems. Furthermore, we analyze the transmission rate of SNs and allocate the relaying power, jamming power, and downlink and uplink transmit power for the asymptotic scenarios. Simulation results demonstrate the performance superiority of our developed strategy over conventional jamming scheme in terms of the transmission rate of WSN.

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