Performance analysis of CSMA/CA protocol during white space identification in cognitive radio networks

Bhattacharjee, Subhasree; Mandal, Swarup; Sardar, Bhaskar

doi:10.1109/aimoc.2014.6785525

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…The performance of distributed and centralized cooperative spectrum sensing approached has analyzed in [24]. They concluded the distributed cooperative spectrum sensing is more scalable than centralized cooperative spectrum sensing A new MAC protocol is investigated in [25] to improve the performance of cognitive radio wireless network.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Spectrum Access in Cognitive Radio Network using Static Neighbor Graph based prediction

Mangairkarasi

Arivudainambi

2022

Preprint

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In Cognitive Radio Network (CRN), secondary users are allowed to access the licensed spectrum bands when it was not used by the primary user. The activities of the secondary users such as “how long to sense” and “how long to transmit” make a considerable intrusion into the quality of service of the secondary user due to dynamic spectrum access. Dynamic spectrum access techniques improve the efficiency of spectrum utilization. To alleviate the processing delay involved in spectrum utilization, spectrum prediction technique has been proposed for CRN. In this paper, an approach called Static Neighbor Graph (SNG) based prediction used for the prediction of the occupancy status of a primary user. Besides the prediction, the secondary user evades the sensing duty on busy channels which makes a considerable reduction in sensing time and energy consumption significantly. Along with SNG, the Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) is suggested for the coordination of the channel access to the secondary network. The performance of this proposed work has been illustrated and validated in terms of throughput, packet delivery ratio, and channel utilization.

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Section: Related Workmentioning

confidence: 99%

Dynamic Spectrum Access in Cognitive Radio Network using Static Neighbor Graph based prediction

Mangairkarasi

Arivudainambi

2022

Preprint

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“…Mesodiakaki and others evaluated the performance of a secondary network coexistence scheme, in terms of fairness, and showed that, in comparison to other state-of-the-art approaches, it could achieve throughput and energy efficiency gains, while maintaining fairness among the coexisting secondary networks [15]. Bhattacharjee and others analyzed the delay performance of distributed and centralized cooperative sensing approaches, to identify which was suitable for sensing inter-packet white space [16]. Saad and others proposed a centralized cognitive medium access method that used prediction of white spaces to avoid collisions, as well as to improve use of transmission opportunities [17].…”

Section: Related Workmentioning

confidence: 99%

“…Using time slot utilization, effective throughput-the S eff of unlicensed sensor nodes-could be expressed as shown in (15): Describing U ts in (15), (16) was obtained-as the throughput of unlicensed sensor nodes:…”

Section: Bayrakdarmentioning

confidence: 99%

Exploiting cognitive wireless nodes for priority‐based data communication in terrestrial sensor networks

Bayrakdar

2019

ETRI Journal

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A priority-based data communication approach, developed by employing cognitive radio capacity for sensor nodes in a wireless terrestrial sensor network (TSN), has been proposed. Data sensed by a sensor node-an unlicensed user-were prioritized, taking sensed data importance into account. For data of equal priority, a first come first serve algorithm was used. Non-preemptive priority scheduling was adopted, in order not to interrupt any ongoing transmissions. Licensed users used a nonpersistent, slotted, carrier sense multiple access (CSMA) technique, while unlicensed sensor nodes used a nonpersistent CSMA technique for lossless data transmission, in an energy-restricted, TSN environment. Depending on the analytical model, the proposed wireless TSN environment was simulated using Riverbed software, and to analyze sensor network performance, delay, energy, and throughput parameters were examined. Evaluating the proposed approach showed that the average delay for sensed, high priority data was significantly reduced, indicating that maximum throughput had been achieved using wireless sensor nodes with cognitive radio capacity.

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Performance Analysis of RTS/CTS Protocol in Accessing Control Channel in Distributed Cognitive Radio Networks

Bhattacharjee¹,

Mandal

2015

Computational Advancement in Communication Circuits and Systems

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Performance analysis of CSMA/CA protocol during white space identification in cognitive radio networks

Cited by 4 publications

References 15 publications

Dynamic Spectrum Access in Cognitive Radio Network using Static Neighbor Graph based prediction

Dynamic Spectrum Access in Cognitive Radio Network using Static Neighbor Graph based prediction

Exploiting cognitive wireless nodes for priority‐based data communication in terrestrial sensor networks

Performance Analysis of RTS/CTS Protocol in Accessing Control Channel in Distributed Cognitive Radio Networks

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