A Spectrum Switching Delay-Aware Scheduling Algorithm for Centralized Cognitive Radio Networks

Gözüpek, Didem; Buhari, Seyed M.; Alagöz, Fatíh

doi:10.1109/tmc.2012.101

Cited by 45 publications

(28 citation statements)

References 26 publications

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“…Thus the average end-toend delay decreases. Generally, even in the worst case, when number of channels is minimal (Figure 7a and 7c), the CSCR performance is equal to 3 or better than the performance of the other protocols.…”

Section: ) Changing Number Of Susmentioning

confidence: 89%

“…The sending channel may differ from the receiving channel, and each node is able to switch to any of these channels at any time. Channel switching delay is assumed to depend on the difference between frequencies of the current and the target channels [3], [26]. Channels are assumed to be non-overlapping which means that sending data on one channel does not interfere with the transmitted data on other channels.…”

Section: System Modelmentioning

confidence: 99%

“…Sending on the default channel (channel 1) is not the best choice due to the high number and activity of the surrounding PUs ( Figure 1a). Also, sending on channel 10 ( Figure 1c) is not the best choice too, since switching from the default channel to channel 10 will take a long time, as the latter channel is the farthest one from the default channel [3]. Thus, the best channel is channel 3 (Figure 1b) because, it achieves the compromise between avoiding highly active PUs and minimizing the channel switching overhead.…”

Section: Introductionmentioning

confidence: 99%

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Channel Selection scheme for Cooperative Routing protocols in Cognitive Radio Networks

Guirguis

ElNainay

2017

2017 International Conference on Computing, Networking and Communications (ICNC)

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Abstract-Cognitive radio networks (CRNs) propose a smart solution for spectrum usage inefficiency. Routing protocols for CRNs follow different criteria to choose the best route to the destination and to avoid the interference with primary users. Some protocols use cooperative communication techniques to achieve the full coexistence between secondary users (SUs) and primary users (PUs). Although using such cross-layer techniques have a great impact on the quality of the chosen routes, the existing work do not choose the best channel to send the data over. Thus, the available spectrum is not utilized efficiently. In this work, we propose CSCR, a channel selection scheme for cooperation-based routing protocols in CRNs. The proposed scheme increases the spectrum utilization through integrating the channels selection in the route discovery phase of the cooperation-based routing protocols. The best channels, that are less congested with primary users and that lead to minimum switching overhead, are chosen while constructing the cooperative group. Evaluating CSCR via NS2 simulations shows that it outperforms its counterparts in terms of goodput, end-to-end delay, and packet delivery ratio. The proposed scheme can enhance the network goodput, in some cases, by more than 150%, as compared to other related protocols.

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Section: ) Changing Number Of Susmentioning

confidence: 89%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Channel Selection scheme for Cooperative Routing protocols in Cognitive Radio Networks

Guirguis

ElNainay

2017

2017 International Conference on Computing, Networking and Communications (ICNC)

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“…In the literature, this is termed channel switching latency. It is reflected as a linear function of the total channel distance between the previous j / and the current channels j [25][26][27][28]. Therefore, channel switching latency denoted by T cs is given as follows:…”

Section: Mathematical Modeling For Channel Capacitymentioning

confidence: 99%

A Cognitive Radio-Based Energy-Efficient System for Power Transmission Line Monitoring in Smart Grids

et al. 2017

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The research in industry and academia on smart grids is predominantly focused on the regulation of generated power and management of its consumption. Because transmission of bulk-generated power to the consumer is immensely reliant on secure and efficient transmission grids, comprising huge electrical and mechanical assets spanning a vast geographic area, there is an impending need to focus on the transmission grids as well. Despite the challenges in wireless technologies for SGs, cognitive radio networks are considered promising for provisioning of communications services to SGs. In this paper, first, we present an IEEE 802.22 wireless regional area network cognitive radio-based network model for smart monitoring of transmission lines. Then, for a prolonged lifetime of battery finite monitoring network, we formulate the spectrum resource allocation problem as an energy efficiency maximization problem, which is a nonlinear integer programming problem. To solve this problem in an easier way, we propose an energy-efficient resource-assignment scheme based on the Hungarian method. Performance analysis shows that, compared to a pure opportunistic assignment scheme with a throughput maximization objective and compared to a random scheme, the proposed scheme results in an enhanced lifetime while consuming less battery energy without compromising throughput performance.

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“…Didem Gozupek et al [20] have proposed a very general scheduling model reaching tasks such as building frequency, data rate allocation and time slot to secondary users with probably numerous antennas, in a dissimilar multi-channel and multi-user scenario. Their schedulers certify that reliable communication between the cognitive base station and secondary users are maintained, no collisions occur between secondary users and primary users in the service part of the cognitive base station are not disturbed.…”

Section: Literature Surveymentioning

confidence: 99%

Appropriate Channel Selection for Dynamic Resource Allocation with Priority Scheduling Approach in Multi-hop Cognitive Radio Networks

Santhamurthy¹,

Parasuramane²

2017

IJIES

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Today's wireless communication systems required groundbreaking solution to meet scarcity of radio spectrum. Cognitive radio (CR) is an emerging technology which provides futuristic solution and improving the precious likely resources utilization. Cognitive radio network (CRN) is an intellectual wireless communication system as well as aware of its environment. In CRN, we have sensing problem by multiple nodes with changing computational power, spectrum allocation and range of sensing. The secondary user (SU) plays major role of primary channel sensing and appropriate unused channel selection for communication. In this paper we focused on optimum resource allocations and priority based scheduling for primary user (PU) and secondary user (SU) to exploit the performance of the entire network by reducing the interference at PU and also exploiting the throughput and decreasing the risk of overlying the coverage of CRNs. The effectiveness of dynamic resource allocation priority based scheduling (DRAPBS-CRN) algorithm is compared with dynamic resource allocation (DRA-CRN) algorithm and is found to be 26% more efficient using ns-2 simulation. This proposed DRAPBS-CRN algorithm also will avoid collisions and perform smart data transmission in CRN.

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A Spectrum Switching Delay-Aware Scheduling Algorithm for Centralized Cognitive Radio Networks

Cited by 45 publications

References 26 publications

Channel Selection scheme for Cooperative Routing protocols in Cognitive Radio Networks

Channel Selection scheme for Cooperative Routing protocols in Cognitive Radio Networks

A Cognitive Radio-Based Energy-Efficient System for Power Transmission Line Monitoring in Smart Grids

Appropriate Channel Selection for Dynamic Resource Allocation with Priority Scheduling Approach in Multi-hop Cognitive Radio Networks

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