Cluster based cooperative sensing:-A survey

Dhope, Tanuja Satish; Šimunić, Dina

doi:10.1109/iccict.2012.6398111

Cited by 7 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Concern on a certain QoS objective, such as [8,14,21]; (b) Describing the technical development in one CRNs component, as in [1,[28][29][30][31][32]; (c) Extensively explaining a function of a CRN component, as in [17,[33][34][35][36][37][38][39][40][41][42][43]; (d) Investigating various security challenges, as in [44][45][46]; and (e) Presenting the latest developments in a CR based application, as in [15,[18][19][20]47].…”

Section: Related Workmentioning

confidence: 99%

“… Spectrum efficiency: Indicates the data rate per frequency band (bit/sec/Hz), such as [39,[64][65][66][67][68][69][70][71][72][73].…”

Section: Qos Objectivesmentioning

confidence: 99%

“…Although the research studies mitigated the congestion at CCC, the scheme suffered from poor performance at a few SUs, and selecting the head of each cluster is still an open research area [39].…”

Section: Cooperative Spectrum Sensing For Sensing Efficiencymentioning

confidence: 99%

See 2 more Smart Citations

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Fakhrudeen

Alani

2017

Int J Wireless Inf Networks

View full text Add to dashboard Cite

Much interest in Cognitive Radio Networks (CRNs) has been raised recently by enabling unlicensed (secondary) users to utilize the unused portions of the licensed spectrum. CRN utilization of residual spectrum bands of Primary (licensed) Networks (PNs) must avoid harmful interference to the users of PNs and other overlapping CRNs. The coexisting of CRNs depends on four components: Spectrum Sensing, Spectrum Decision, Spectrum Sharing, and Spectrum Mobility. Various approaches have been proposed to improve Quality of Service (QoS) provisioning in CRNs within fluctuating spectrum availability. However, CRN implementation poses many technical challenges due to sporadic usage of licensed spectrum bands, which will be increased after deploying CRNs. Unlike traditional surveys of CRNs, this paper addresses QoS provisioning approaches of CRN components and provides an up-to-date comprehensive survey of recent improvement in these approaches. Major features of the open research challenges of each approach are investigated. Due to the extensive nature of the topic, this paper is the first part of the survey which investigates QoS approaches on spectrum sensing and decision components respectively. The remaining approaches of spectrum sharing and mobility components will be investigated in the next part.

show abstract

Section: Related Workmentioning

confidence: 99%

“… Spectrum efficiency: Indicates the data rate per frequency band (bit/sec/Hz), such as [39,[64][65][66][67][68][69][70][71][72][73].…”

Section: Qos Objectivesmentioning

confidence: 99%

See 1 more Smart Citation

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Fakhrudeen

Alani

2017

Int J Wireless Inf Networks

View full text Add to dashboard Cite

show abstract

Research on Cooperative Spectrum Sensing Algorithm

Gao

Huang

Sun

et al. 2017

Machine Learning and Intelligent Communications

View full text Add to dashboard Cite

A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network

Eappen

Shankar

2020

SN COMPUT. SCI.

View full text Add to dashboard Cite

The need for faster wireless connectivity is increasing rapidly in all the sectors of the technologies. Whether it is a patient monitoring system, military application, entertainment services, streaming services, or global stock markets, there is a tremendous increase in the need for enhanced wireless telecommunication services. The wireless telecommunication consumers rely on bulk data, and massive growth in the number of users has resulted in the spectrum congestion. To avoid such spectrum congestion and to satisfy the data hunger of the wireless telecommunication users, the possible solution is Cognitive Radio Network (CRN). A CRN, therefore, plays a significant role in the field of wireless communication, and an efficient spectrum sensing enhances the effectiveness of the CRN. In this paper, complete research carried out so far in the field of spectrum sensing for CRN is discussed. Different soft computing techniques (GA, PSO, ABC, ACO, FFA, FSS, Cuckoo Search, ANN, FIS, GFIS) are surveyed in this paper, along with a detailed comparative analysis between conventional and soft computing techniques for spectrum sensing. In addition to that, the challenges faced in the implementation of CRN and its requirements is also addressed. Different spectrum sensing elements and requirements are presented and road map of spectrum sensing with soft computing techniques towards 5G is discussed. Furthermore, the paper also suggests the future prospects, research challenges and open issues associated with soft computing techniques for spectrum sensing in CRN.

show abstract

Cluster based cooperative sensing:-A survey

Cited by 7 publications

References 27 publications

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Research on Cooperative Spectrum Sensing Algorithm

A Survey on Soft Computing Techniques for Spectrum Sensing in a Cognitive Radio Network

Contact Info

Product

Resources

About