Spectrum Sensing Based Heed Routing Performance Enhancement Strategy for Cognitive Radio Sensor Networks

Janani, S.; Ramaswamy, M.; Manoharan, J. Samuel

doi:10.1007/978-981-10-7635-0_6

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…According to the Federal Communication Commission, certain frequency bands such as radio and TV are being underutilized, while other frequency bands like mobile bands are experiencing overutilization [2]. The existence of such a disparity indicates an inefficiency in spectrum utilization, highlighting the need for dynamic spectrum allocation.…”

Section: Introductionmentioning

confidence: 99%

“…The existence of such a disparity indicates an inefficiency in spectrum utilization, highlighting the need for dynamic spectrum allocation. One solution to address this issue is the implementation of an intelligent radio system known as the Cognitive Radio Sensor Networks [2]. The transmission of sensor node readings within a Cognitive Radio Sensor Network is allocated opportunistically, based on the availability of spectrum.…”

Section: Introductionmentioning

confidence: 99%

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WITHDRAWN: A Survey on the Performance Analysis of NOMA-Assisted Cognitive Radio Sensor Networks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

confidence: 99%

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: A Survey on the Performance Analysis of NOMA-Assisted Cognitive Radio Sensor Networks

Asha

Janani

2023

Preprint

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“…These studies also take into account traditional nodes that have enough energy to function in the system 14 . The count of nodes available for data connections makes it difficult to develop and optimize the protocol 15 . To our understanding, no previous research has looked into the establishment of energy sustainable IoUT networks that can capture energy.…”

Section: Introductionmentioning

confidence: 99%

Improved geographic opportunistic routing protocol for void hole elimination in underwater IoTs: Parameter tuning by TSA optimization

Simon,

Kapileswar,

Phani Kumar

et al. 2023

Int J Communication

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SummaryUnderwater IoT is incredibly helpful in monitoring a variety of jobs, from instrument monitoring to climate recording, from pollution management to natural catastrophe forecasting. Nevertheless, there exist various issues that have an impact on a network's efficiency such as the formation of void holes, excessive EC, and low PDR. As a result, the IGOR protocol is suggested in this study to increase PDR by reducing the percentage of void hole occurrence. The developed routing protocols' scalability is also examined. Here, the parameter optimization for the EC minimization and PDR maximization is performed by a meta‐heuristic optimization algorithm referred to as TSA. In order to verify that the suggested protocol is EC‐optimal by calculating the viable areas. In addition, suggested protocols are evaluated against contemporaries' benchmark routing protocols. The outcomes of the simulations clearly demonstrate that the suggested routing protocols obtained greater PDR than the current techniques. Additionally, there exists a reduction in the ratio of void hole incidence. Comparative research reveals that suggested routing protocols outperformed benchmark routing protocols by 80–81% in PDR. Further, the suggested routing procedures reduced the frequency of void holes by around 30%.

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Security and Energy Management in Cooperative Spectrum Sensing

Antoinette,

Buvaneswari

2023

Procedia Computer Science

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Spectrum Sensing Based Heed Routing Performance Enhancement Strategy for Cognitive Radio Sensor Networks

Cited by 4 publications

References 18 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

Improved geographic opportunistic routing protocol for void hole elimination in underwater IoTs: Parameter tuning by TSA optimization

Security and Energy Management in Cooperative Spectrum Sensing

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