Subchannel and resource allocation in cognitive radio sensor network with wireless energy harvesting

2020 ◽  
Vol 167 ◽  
pp. 107028 ◽  
Author(s):  
Zhixin Liu ◽  
Mingye Zhao ◽  
Yazhou Yuan ◽  
Xinping Guan
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Energy Harvesting ◽  
Sensor Network ◽  
Cognitive Radio Sensor Network ◽  
Wireless Energy Harvesting

scholarly journals Weighted-Directed-Hypergraph-Based Spectrum Access for Energy Harvesting Cognitive Radio Sensor Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 68570-68579
Author(s):  
Jing Ren ◽  
Hang Zhang ◽  
Zhiyong Du ◽  
Youming Sun ◽  
Hang Hu ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Sensor Network ◽  
Spectrum Access ◽  
Cognitive Radio Sensor Network ◽  
Directed Hypergraph

scholarly journals Estimation of Distribution Algorithm for Resource Allocation in Green Cooperative Cognitive Radio Sensor Networks

2021 ◽  
Author(s):  
Muhammad Naeem ◽  
Udit Pareek ◽  
Daniel C. Lee ◽  
Alagan Anpalagan
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Power Allocation ◽  
Sensor Network ◽  
Hybrid Heuristic ◽  
Multi Objective ◽  
Cognitive Radio Sensor Network ◽  
Relay Assignment ◽  
Estimation Of Distribution

Due to the rapid increase in the usage and demand of wireless sensor networks (WSN), the limited frequency spectrum available for WSN applications will be extremely crowded in the near future. More sensor devices also mean more recharging/replacement of batteries, which will cause significant impact on the global carbon footprint. In this paper, we propose a relay-assisted cognitive radio sensor network (CRSN) that allocates communication resources in an environmentally friendly manner. We use shared band amplify and forward relaying for cooperative communication in the proposed CRSN. We present a multi-objective optimization architecture for resource allocation in a green cooperative cognitive radio sensor network (GC-CRSN). The proposed multi-objective framework jointly performs relay assignment and power allocation in GC-CRSN, while optimizing two conflicting objectives. The first objective is to maximize the total throughput, and the second objective is to minimize the total transmission power of CRSN. The proposed relay assignment and power allocation problem is a non-convex mixed-integer non-linear optimization problem (NC-MINLP), which is generally non-deterministic polynomial-time (NP)-hard. We introduce a hybrid heuristic algorithm for this problem. The hybrid heuristic includes an estimation-of-distribution algorithm (EDA) for performing power allocation and iterative greedy schemes for constraint satisfaction and relay assignment. We analyze the throughput and power consumption tradeoff in GC-CRSN. A detailed analysis of the performance of the proposed algorithm is presented with the simulation results.

scholarly journals Estimation of Distribution Algorithm for Resource Allocation in Green Cooperative Cognitive Radio Sensor Networks

2021 ◽  
Author(s):  
Muhammad Naeem ◽  
Udit Pareek ◽  
Daniel C. Lee ◽  
Alagan Anpalagan
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Power Allocation ◽  
Sensor Network ◽  
Hybrid Heuristic ◽  
Multi Objective ◽  
Cognitive Radio Sensor Network ◽  
Relay Assignment ◽  
Estimation Of Distribution

Due to the rapid increase in the usage and demand of wireless sensor networks (WSN), the limited frequency spectrum available for WSN applications will be extremely crowded in the near future. More sensor devices also mean more recharging/replacement of batteries, which will cause significant impact on the global carbon footprint. In this paper, we propose a relay-assisted cognitive radio sensor network (CRSN) that allocates communication resources in an environmentally friendly manner. We use shared band amplify and forward relaying for cooperative communication in the proposed CRSN. We present a multi-objective optimization architecture for resource allocation in a green cooperative cognitive radio sensor network (GC-CRSN). The proposed multi-objective framework jointly performs relay assignment and power allocation in GC-CRSN, while optimizing two conflicting objectives. The first objective is to maximize the total throughput, and the second objective is to minimize the total transmission power of CRSN. The proposed relay assignment and power allocation problem is a non-convex mixed-integer non-linear optimization problem (NC-MINLP), which is generally non-deterministic polynomial-time (NP)-hard. We introduce a hybrid heuristic algorithm for this problem. The hybrid heuristic includes an estimation-of-distribution algorithm (EDA) for performing power allocation and iterative greedy schemes for constraint satisfaction and relay assignment. We analyze the throughput and power consumption tradeoff in GC-CRSN. A detailed analysis of the performance of the proposed algorithm is presented with the simulation results.

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

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.

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