Performance monitoring of cognitive radio mobile ad hoc network with dynamic spectrum access

Łopatka, Jerzy; Gajewski, Piotr; Malon, Krzysztof; Krygier, Jaroslaw

doi:10.1109/afrcon.2017.8095498

Cited by 2 publications

(5 citation statements)

References 11 publications

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“…The very wide overview of metrics proposed for the assessment of CR networks is shown in [48]. Many of them were adapted for evaluation of CR MANET during CORASMA project, as it was presented by us in [12]. The metrics used in this project were implemented in MAENA, where many metrics related to the assessment of additional functionalities have been added, such as spectrum utility and effectiveness by DSM.…”

Section: Performance Analysis 61 Metricsmentioning

confidence: 99%

“…In [12], we defined time-dependent metrics temporary Received Signal Strength Indicator (RSSI), the instantaneous value of Packet Loss Rate (PLR), an instantaneous value of throughput-R, and per-streams metrics the mean values of PLR, throughput R, and traffic percentage for neighbor discovery Rm_hello, and for sensing Rm_sensing. Some MOEs were already presented by us, in [10] a command capability factor (C2F) was proposed to evaluate the network performance for an operational purpose.…”

Section: Performance Analysis 61 Metricsmentioning

confidence: 99%

“…Based on ITU-T and IETF recommendations [50], the quality measures for the aforementioned services are Packet Loss Rate, Packed Delay Rate (PDL), and Jitter (J) that is a variation of end-to-end packet delay. A percentage of session success as MOE metrics are used to compare the source to destination performance for the three above-mentioned traffic cases [12].…”

Section: Performance Analysis 61 Metricsmentioning

confidence: 99%

“…Based on the experience of CORASMA, a laboratory and real demonstrators have been built to test DSM procedures [11]. The performance monitoring of CR MANET with DSM was characterized using the proposed set of evaluation metrics in [12]. A solution containing our waveform used in CR nodes is presented, and results obtained in a real environment are discussed in [13].…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Public Safety Cognitive Radio MANET for Diversified Traffic

Gajewski

Łopatka

Łubkowski

2022

Sensors

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This paper presents properties of a mobile ad hoc network (MANET) with dynamic spectrum management (DSM) and is devoted to the concept and implementation of the new traffic engine that is used in a High-Fidelity simulator of MANET with cognitive nodes for special applications. The communication traffic generated by each node is defined according to its role in the hierarchical structure of the operational scenario, determining its priorities, permission to use particular real time and non-real time services. The service usage is a source based model, defined in the user’s profile containing its statistical properties, describing periodicity, duration and randomness of traffic generation. The overall traffic generated by the node is a combination of traffics related to specific services. Their statistical parameters are based on real exercises results. The model was defined in the Matlab environment and next verified using the MAENA simulator for complex, operational scenarios. The achieved results show that use of both central and distributed DSM provides a better performance of the MANET network with complex traffic.

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Section: Performance Analysis 61 Metricsmentioning

confidence: 99%

Section: Performance Analysis 61 Metricsmentioning

confidence: 99%

Section: Performance Analysis 61 Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance Analysis of Public Safety Cognitive Radio MANET for Diversified Traffic

Gajewski

Łopatka

Łubkowski

2022

Sensors

Self Cite

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“…The most important metrics selected from this set to assess our solution are described below. The calculation formulas were taken from [ 39 ] where the wide set of metrics proposed for the evaluation of MANET CR is discussed.…”

Section: Cr Waveform Constructionmentioning

confidence: 99%

Cognitive Radio MANET Waveform Design and Evaluation

Kaszuba-Chęcińska

Chęciński

Gajewski

et al. 2021

Sensors

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The problem of waveform construction for mobile ad hoc networks with cognitive radio (MANET-CR) is discussed. This is the main limitation to widely use this very attractive technique, which does not need the deployment of expensive communication infrastructure. Two main questions correspond to MANET-CR effectiveness: spectrum sensing and spectrum sharing. The paper presents the structure of CR nodes that enables Opportunistic Spectrum Sharing. Procedures for advanced Dynamic Spectrum Management together with the concept of policy-based radio and a sensing method are presented. In the proposed system, the basic policy is to avoid interference generated by other users or jammers. The experiments were performed in a real environment, using the elaborated testbed. The results show that the use of sensing and cognitive management mechanisms enable more efficient use of the spectrum while maintaining reasonable overhead values related to the management procedures.

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Performance monitoring of cognitive radio mobile ad hoc network with dynamic spectrum access

Cited by 2 publications

References 11 publications

Performance Analysis of Public Safety Cognitive Radio MANET for Diversified Traffic

Performance Analysis of Public Safety Cognitive Radio MANET for Diversified Traffic

Cognitive Radio MANET Waveform Design and Evaluation

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