In-Network Data Aggregation for Ad Hoc Clustered Cognitive Radio Wireless Sensor Network

Mortada, Mohamad Rida; Nasser, Abbass; Mansour, Ali; Yao, Koffi Clément

doi:10.3390/s21206741

Cited by 9 publications

(6 citation statements)

References 40 publications

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“…This SS module plays a crucial role in ensuring that the secondary nodes opportunistically access the spectrum without causing interference to the PU [6]. Cognitive radio (CR) networks achieve high spectral efficiency by facilitating the sharing of frequency bands between two types of users: the PU and the SU.…”

Section: Adopting Cognitive Methods In Wsnmentioning

confidence: 99%

WITHDRAWN: A Survey on the Performance Analysis of NOMA-Assisted Cognitive Radio Sensor Networks

Asha

Janani

2023

Preprint

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The wireless communication system has been facing a technological revolution due to the shift through various generations. To fulfil the 5G and beyond 5G (B5G) networks, we need to improve the spectral efficiency under certain limitations with enhanced security and reliability compared to the currently deployed systems. According to the massive transmission demand of wireless devices, we need to consider spectral efficiency, less energy consumption, and security for future wireless communication networks. Taking into account the aforementioned research gap, concerning the comparison of spectral efficiency and energy efficiency, this paper addresses the challenge that lies in enhancing resource allocation and identifying future research avenues for next-generation wireless communication networks. In this study, we investigate Non-Orthogonal Multiple Access (NOMA)-assisted Cognitive Radio Sensor Networks (CRSN), an adaptive intelligent radio that can automatically detect the channels in the wireless spectrum and change transmission parameters enabling more communication for better spectrum utilization without causing any interference to the licensed user. A Cognitive radio NOMA extensively improves network capacity by utilising the same frequency bandwidth distinguished by power allocation. This paper analyses the study of existing survey papers by comparing the performance metrics of NOMA with other techniques, the role of NOMA in 5G and B5G networks, NOMA’s network and its architecture and performance indicators.

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Section: Adopting Cognitive Methods In Wsnmentioning

confidence: 99%

WITHDRAWN: A Survey on the Performance Analysis of NOMA-Assisted Cognitive Radio Sensor Networks

Asha

Janani

2023

Preprint

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“…Mortada et al [9] discussed the working of CRSN where sensor nodes act as secondary users and can access the channel when the primary user is not present. However, this process is opportunistic and is performed without PUs.…”

Section: Literature Reviewmentioning

confidence: 99%

A Polynomial Series-based data aggregation and spectrum aware clustering technique for a combined model of WSN and cognitive radios in IoT applications

Kalburgi,

Manimozhi

2023

Preprint

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Currently, the demand for wireless communication has increased drastically due to the emergence of IoT based applications. In this field, wireless sensor networks have acquired huge attention from the research community, academia, and industries. Generally, these sensor networks and IoTs operate in the license-free spectrum where numerous other devices also operate which leads to generating interference and impacts the Quality of Service (QoS) of these communication systems. To handle this issue, cognitive radio communication technology is a viable solution which facilitates opportunistic access to the spectrum which allows sensor networks to operate in licensed bands. This approach helps to mitigate the interference and improves the performance of the communication system. However, incorporating cognitive radio network with IoT and sensor networks is an encouraging method to proliferate the performance of wireless communication but CRs perform several tasks which consume excessive energy as the sensor networks are equipped with limited power and computation resources. Moreover, continuous data collection leads to gather huge amount of data which suffers from redundancy. Thus, the research community has suggested incorporating the aggregation method to discard the data redundancy. On the other hand, energy aware routing is also considered as novel solution to abate energy depletion during data exchange. In this work, we have focused on a combined model of WSN and cognitive radios for IoT based applications and presented a polynomial series-based data aggregation and spectrum aware clustering technique. The proposed approach achieves overall packet delivery as 95.47%, energy consumption as 5.216J and delay as 0.554 s, which shows better performance when compared with existing schemes in CRSNs.

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“…Mortada et al consider the cognitive radio wireless sensor networks (CRSN) and how to cluster a CRSN, such that the cluster head (CH) performs Spectrum Sensing (SS), gathers the data, and sends it toward a central base station by adopting an ad hoc topology with an in-network data aggregation (IDA) capability [ 1 ]. The authors showed that the energy consumed by the data transmission decreases, while the total consumed energy of SS increases, since more CHs need to perform SS before transmitting.…”

Section: Overview On Contributionsmentioning

confidence: 99%

Advanced Topics and Smart Systems for Wireless Communications and Networks

Mansour

Aggoune

Moy

et al. 2023

Sensors

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In-Network Data Aggregation for Ad Hoc Clustered Cognitive Radio Wireless Sensor Network

Cited by 9 publications

References 40 publications

WITHDRAWN: A Survey on the Performance Analysis of NOMA-Assisted Cognitive Radio Sensor Networks

WITHDRAWN: A Survey on the Performance Analysis of NOMA-Assisted Cognitive Radio Sensor Networks

A Polynomial Series-based data aggregation and spectrum aware clustering technique for a combined model of WSN and cognitive radios in IoT applications

Advanced Topics and Smart Systems for Wireless Communications and Networks

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