Robust Distributed Power Control for Cognitive Radio based Industrial Wireless Sensor Networks

Phuong, Tran Minh; Kim, Dong-Seong

doi:10.14257/astl.2013.41.03

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…The major disadvantage is that connectivity cannot be assured since each node makes decisions on local information which may include error or malicious activity spread by the neighboring nodes which renders distributed resource allocation to a weak optimal solution. Distributed architecture resource allocation in CRSN related applications has been studied in [62], [108], [80], [85]- [86], [88], [93], [113].…”

Section: Distributed Architecturementioning

confidence: 99%

Radio Resource Allocation Improvements in CRSN for Smart Grid: A Survey

Ogbodo¹,

Dorrell²,

Abu‐Mahfouz³

2019

Preprint

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A cognitive radio sensor network (CRSN) based Smart Grid (SG) is a new paradigm for a modern SG. It is totally different from the traditional power grid and also different from the conventional SG that uses a static resource allocation technique to allocate resources to sensor nodes and communication devices in the SG network. Due to the challenges associated with competitive sensor nodes and communication devices in accessing and utilizing radio resources, the need for dynamic radio resource allocation (RRA) has been proposed as a solution for allocating radio resources to sensor nodes in a CRSN based smart grid ecosystem (network). These challenges include energy/power constraints, poor quality of service (QoS), interference, delay, spectrum efficiency issues, and excessive spectrum hand-offs. Hence, the optimization of resource allocation criteria, such as energy efficiency, throughput maximization, QoS guarantee, fairness, priority, interference mitigation/avoidance, etc., will go a long way in addressing the problems of RRA in a CRSN based SG. Consequently, this work explores RRA in CRSNs for SGs. Various resource allocation schemes, as well as its architecture in a CRSN for SG environment, are presented. The work reported in this paper introduces a model called the “guaranteed network connectivity channel allocation” for throughput maximization (GNC-TM) and optimal spectrum band determination in RRA for improved throughput criteria in CRSNs for SGs. The results show that the model outperforms the existing protocol in terms of throughput and error probability. Finally, the contribution to knowledge and future research direction, such as energy efficiency and hybrid energy harvesting schemes are highlighted.

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Section: Distributed Architecturementioning

confidence: 99%

Radio Resource Allocation Improvements in CRSN for Smart Grid: A Survey

Ogbodo¹,

Dorrell²,

Abu‐Mahfouz³

2019

Preprint

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NS-2 based simulation framework for cognitive radio sensor networks

2016

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In this paper, we propose a simulation model for cognitive radio sensor networks (CRSNs) which is an attempt to combine the useful properties of wireless sensor networks and cognitive radio networks. The existing simulation models for cognitive radios cannot be extended for this purpose as they do not consider the strict energy constraint in wireless sensor networks. Our proposed model considers the limited energy available for wireless sensor nodes that constrain the spectrum sensing process -an unavoidable operation in cognitive radios. Our model has been thoroughly tested by per- The results generated by the model have been found accurate which can be considered for realization of CRSNs.Keywords Cognitive radio · dynamic spectrum access · wireless sensor networks · cognitive radio sensor networks · simulation model.

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A Survey on Performance Analysis of Distributed Channel Allotment Approaches for Wireless Sensor Networks with Cognitive radio capabilities

Vidya

Shylaja²

2020

2020 Fourth International Conference on Inventive Systems and Control (ICISC)

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Robust Distributed Power Control for Cognitive Radio based Industrial Wireless Sensor Networks

Cited by 4 publications

References 4 publications

Radio Resource Allocation Improvements in CRSN for Smart Grid: A Survey

Radio Resource Allocation Improvements in CRSN for Smart Grid: A Survey

NS-2 based simulation framework for cognitive radio sensor networks

A Survey on Performance Analysis of Distributed Channel Allotment Approaches for Wireless Sensor Networks with Cognitive radio capabilities

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