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

Sensors ◽  
2013 ◽  
Vol 13 (4) ◽  
pp. 4884-4905 ◽  
Author(s):  
Muhammad Naeem ◽  
Udit Pareek ◽  
Daniel Lee ◽  
Alagan Anpalagan
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Estimation Of Distribution Algorithm ◽  
Cognitive Radio Sensor Networks ◽  
Estimation Of Distribution

A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks

2015 ◽  
Vol 17 (2) ◽  
pp. 888-917 ◽  
Author(s):  
Ayaz Ahmad ◽  
Sadiq Ahmad ◽  
Mubashir Husain Rehmani ◽  
Naveed Ul Hassan
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Radio Resource Allocation ◽  
Radio Resource ◽  
Cognitive Radio Sensor Networks

scholarly journals Opportunistic Capacity-Based Resource Allocation for Chunk-Based Multi-Carrier Cognitive Radio Sensor Networks

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 175 ◽  
Author(s):  
Jie Huang ◽  
Xiaoping Zeng ◽  
Xin Jian ◽  
Xiaoheng Tan ◽  
Qi Zhang
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Cognitive Radio Sensor Networks

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 Resource allocation in heterogeneous cognitive radio sensor networks

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771985194
Author(s):  
Mohammed Al-Medhwahi ◽  
Fazirulhisyam Hashim ◽  
Borhanuddin Mohd Ali ◽  
A Sali ◽  
Abdulsalam Alkholidi
Keyword(s):  
Resource Allocation ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Radio Channel ◽  
Radio Spectrum ◽  
Sensor Nodes ◽  
Medium Access ◽  
Access Protocol ◽  
Cognitive Radio Sensor Networks ◽  
Medium Access Protocol

Cognitive radio sensor networks offer a promising means of meeting rapidly expanding demand for wireless sensor network applications in new monitoring and objects tracking fields. Several challenges, particularly in terms of quality of service provisioning, arise because of the inherited capability-limitation of end-sensor nodes. In this article, an efficient resource allocation scheme, improved Pliable Cognitive Medium Access Protocol, is proposed to tackle multilevel of heterogeneity in cognitive radio sensor networks. The first level is the network’s application heterogeneity, and the second level is the heterogeneity of the radio environment. The proposed scheme addresses scheduling and radio channel allocation issues. Allocation-decision making is centralized, whereas spectrum sensing is distributed, thereby increasing efficiency and limiting interference. Despite the limited capabilities of the sensor’s networks, the effectiveness of the proposed scheme also includes increasing the opportunity to utilize a wider range of the radio spectrum. improved Pliable Cognitive Medium Access protocol is quite appropriate for critical communications that gain attention in the next 5G of wireless networks. Simulation results and the comparison of the proposed protocol with other protocols indicate the robust performance of the proposed scheme. The results reveal the significant effectiveness, with only a slight trade-off in terms of complexity.

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