When Cognitive Radio meets the Internet of Things?

Khan, Athar Ali; Rehmani, Mubashir Husain; Rachedi, Abderrezak

doi:10.1109/iwcmc.2016.7577103

Cited by 96 publications

(54 citation statements)

References 25 publications

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“…Underutilization of spectrum is clearly evident [24] in existing fixed utilization of spectrum policies. To avoid underutilization of spectrum cognitive radio networks (CRN) play an important role and hence they have become popular these days.…”

Section: Motivationmentioning

confidence: 99%

Quality and Availability of spectrum based routing for Cognitive radio enabled IoT networks

Kaushik

Yoganandam

Sahoo

2018

JCOMSS

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Abstract-With the recent emergence and its wide spread applicability Internet of Things (IoT) is placing pressure on network resources and most importantly on availability of spectrum. Spectrum scarcity is the issue to be addressed in networking within IoT. Cognitive radio is the technology which addresses the problem of spectrum scarcity in an efficient way. Equipping the IoT devices with cognitive radio capability will lead to a new dimension called cognitive radio enabled IoT devices. To achieve ON-demand IoT solutions and interference free communications cognitive radio enabled IoT devices will become an effective platform for many applications. As there is high dynamicity in availability of spectrum it is challenging for designing an efficient routing protocol for secondary users in cognitive device networks. In this work we are going to estimate spectrum quality and spectrum availability based on two parameters called global information about spectrum usage and instant spectrum status information. Enhanced energy detector is used at each and every node for better probability of detection. For estimating spectrum quality and availability we are introducing novel routing metrics. To have restriction on the number of rerouting and to increase the performance of routing in our proposed routing metric only one retransmission is allowed. Then, two algorithms for routing are designed for evaluating the performance of routing and we find that the bit error rates of proposed algorithms (nodes are dynamic) have decreased a lot when compared to conventional methods (nodes are static) and throughput of proposed algorithm also improved a lot.

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Section: Motivationmentioning

confidence: 99%

Quality and Availability of spectrum based routing for Cognitive radio enabled IoT networks

Kaushik

Yoganandam

Sahoo

2018

JCOMSS

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“…Reconfiguration of the cloud happens according to the result of the historic data performance analysis. QoS requirements are also analysed in [14], focusing on IoT networks enhanced by cognitive radio technology.…”

Section: B Iot Backgroundmentioning

confidence: 99%

Performance analysis of the Quality of Service-aware NETworking Scheme for sMart Internet of Things gatewayS

Simiscuka

Bezbradica

Muntean

2017

2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-The extremely large number of devices available to the modern day user, with the increase in device intercommunication, is fuelling the latest Internet of Things (IoT) development. IoT needs to enable exchange of various types of data, from sensor data to multimedia, between numerous diverse devices differing in power, connectivity, mobility and energy, while also maintaining high levels of Quality of Service (QoS). This paper performs statistical analysis of the innovative NETworking Scheme for sMart IoT gatewayS (NETSMITS) in terms of several QoS network-related metrics with most significant impact on devices' performance. NETSMITS introduces an innovative algorithm which uses QoS and service relevance metrics in order to efficiently cluster intercommunicating IoT objects. Statistical analysis is performed on the QoS data collected in a highly relevant multi-device scenario in order to understand NETSMITS' behaviour. Interesting results were obtained, describing the relationship between the QoS metrics and different types of IoT devices.

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“…It's a third revolution in which we are trying to connect the physical world with the imaginary world of electronics. Additionally, ubiquitous objects with cognitive capabilities will be able to make intelligent decisions [1]. The main motivating applications behind this is to automatically connect, monitor and respond to nature's surveillance systems.…”

Section: Introductionmentioning

confidence: 99%

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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When Cognitive Radio meets the Internet of Things?

Cited by 96 publications

References 25 publications

Quality and Availability of spectrum based routing for Cognitive radio enabled IoT networks

Quality and Availability of spectrum based routing for Cognitive radio enabled IoT networks

Performance analysis of the Quality of Service-aware NETworking Scheme for sMart Internet of Things gatewayS

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

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