A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks

Ahmad, Ayaz; Ahmad, Sadiq; Rehmani, Mubashir Husain; Hassan, Naveed Ul

doi:10.1109/comst.2015.2401597

Cited by 246 publications

(131 citation statements)

References 109 publications

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“…The CR-WS nodes have mainly four functionalities: spectrum sensing, spectrum management, spectrum sharing, spectrum mobility [10]. Instead of paying for the expensive licenses, CR-WSNs can offer wireless services by investing the comparatively small amount of capital in their infrastructure, and spectrum sensing technologies [6]. Country wise spectrum incompatibility problem can be solved.…”

Section: Cr-wsn Architecturementioning

confidence: 99%

“…In this paper, we presented basically the survey on the MAC protocol. The authors in [6], discuss the radio resource allocation in CRSN. In that, they have presented very good survey and comparison of different radio resource allocation schemes like centralized, distributed and clusterbased.…”

Section: Related Workmentioning

confidence: 99%

“…CR-WSNs can be modeled as Ad Hoc CR-WSN, Clustered CR-WSN, Heterogeneous and Hierarchical CR-WSN or Mobile CR-WSN. For the comparison of ordinary WSNs, Ad Hoc CRNs and CR-WSNs refer [6]. In CR-WSN, communication unit having a modification of CR capabilities using which the sensor node alters its transmission parameters such as carrier frequency, transmission power, and modulation.…”

Section: Cr-wsn Architecturementioning

confidence: 99%

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An Overview of Medium Access Control Protocols for Cognitive Radio Sensor Networks

Maisuria

Mehta²

2018

The 4th International Electronic Conference on Sensors and Applications

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-In recent year, the most emerging and growing field of research and development is "Internet of Things" (IoT). This is due to advancement in wireless sensor network (WSN) which operate in the unlicensed industrial, scientific and medical (ISM) spectrum band. However, many wireless technologies operate in the same unlicensed spectrum, make it overcrowded and hence resulted in spectrum scarcity among those bands, the performance of WSN will degrade as their popularity increases. According to FCC report, most of the licensed spectrum is underutilized, sharing of underutilized licensed spectrum among unlicensed devices is a promising solution to the spectrum scarcity issue. Cognitive Radio (CR) is one of the capable technology that allows sensor nodes (as a Secondary Users (SUs)) to detect and use the underutilized licensed spectrum temporarily when Primary Users (PUs) not using it. With recent advances in Cognitive Radio (CR) technology, possible to apply the Dynamic Spectrum Access (DSA) model in WSNs to get access to underutilized licensed spectrum, possibly with better propagation characteristics, but as the existing protocols and algorithms developed for CRNs and WSNs are not directly applicable to CR-based WSNs and required new protocols. In this paper, we present a survey on the novel design of CRbased MAC, identify the main advantages and challenges of using CR technology, and compare the different method of improving energy efficiency. We believe that CR-WSN is the next-generation WSN. In this paper, we also discussed the open issues to motivate new research interest in this field.

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Section: Cr-wsn Architecturementioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Cr-wsn Architecturementioning

confidence: 99%

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An Overview of Medium Access Control Protocols for Cognitive Radio Sensor Networks

Maisuria

Mehta²

2018

The 4th International Electronic Conference on Sensors and Applications

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“…In [27] the authors surveyed various existing cognitive radio based wireless sensor networks. They identified that it is important to develop a strategy for intelligent allocation of radio resource to perform efficient and dynamic spectrum access policy.…”

Section: Literature Surveymentioning

confidence: 99%

A Dynamic Spectrum Access Optimization Model for Cognitive Radio Wireless Sensor Network

Saroja¹,

Ragha²,

Sharma³

2017

IJCT

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The availability of low cost and tiny sensor devices have resulted in increased adoption of wireless sensor network (WSN) in various industries and organization. The WSN is expected to play a significant role in future internet based application services. WSN has been adopted in healthcare, disaster management, environment monitoring and so on. The low-cost availability of smart devices has led to increased use of wireless devices such as Bluetooth, Wi-Fi etc. Therefore, cognitive radio network plays a significant role in handling spectrum efficiently. The emerging internet access technology such as 4G and 5G network which is expected to come in near future is going to make cognitive spectrum access more challenging. The existing cognitive radio based WSN is not efficient in utilizing spectrum. They induce high collision due to interference and improper channel state information. To address, this work present an efficient distributed opportunistic spectrum access for wireless sensor network. The channel availability of likelihood distribution is computed using continuous-time Markov chain considering primary transmitting users temporal channel usage channel pattern and spatial distribution. The simulation outcome shows the proposed model achieves significant performance improvement over existing model. The proposed model improves the overall spectrum efficiency of cognitive radio wireless sensor network in terms of throughput, packet transmission and collision.

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“…Wireless sensors are power constrained devices and they operate in ISM bands like the 900 MHz and 2.4 GHz bands. As they are used for many applications, the available spectrum in ISM bands is not enough for their transmission needs, which results in data loss [3]. In this context, They are adopting the cognitive radio methods with opportunistic accessing of vacant channels to overcome the spectrum scarcity.…”

Section: Introductionmentioning

confidence: 99%

Blocking probability analysis of wireless sensors that employ opportunistic spectrum access

Anusha

Ramanjaneyulu

Annapurna

2017

JOIV : Int. J. Inform. Visualization

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Abstract-Opportunistic accessing of vacant channels of licensed spectrum by non-licensed wireless devices offers a convenient solution to the spectrum scarcity problems experienced by many wireless communication systems. Due to the fixed assignment policy of spectrum, some of the licensed frequencies are not in full utilization by their licensed users. On the other hand, there exists a severe scarcity of bandwidth for new wireless services. In this context, opportunistic access is found to be a boon, to overcome the spectrum scarcity problems. In this paper, opportunistic accessing of vacant channels by the wireless sensors is analysed. Finding the number of devices that can be supported for the available vacant bandwidth is the main focus of the work. Assessing the blocking probabilities experienced by the devices is found to offer an approximation of the number of devices that can be accommodated in a given scenario, for permissible blocking rates. This kind of analysis can help in proper planning of such wireless sensor networks, to deploy them in a way that they can make use of the white space bandwidths efficiently.

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A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks

Cited by 246 publications

References 109 publications

An Overview of Medium Access Control Protocols for Cognitive Radio Sensor Networks

An Overview of Medium Access Control Protocols for Cognitive Radio Sensor Networks

A Dynamic Spectrum Access Optimization Model for Cognitive Radio Wireless Sensor Network

Blocking probability analysis of wireless sensors that employ opportunistic spectrum access

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