A cross layer framework for WLANs: Joint radio propagation and MAC protocol

Sarkar, Nurul I.

doi:10.1109/iccitechn.2010.5723912

Cited by 2 publications

(2 citation statements)

References 17 publications

(18 reference statements)

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“…Thus, the wireless channel is poorly utilized as nodes delay their transmissions, even when there is no communication. According to [18], by setting the threshold for the communication failure at BER ≥ 10 −3 bps as in Figure 3, corresponding maximum number of bit failed to receive RTS/CTS acknowledgement are measured. When BER is higher than 10 −3 bps, the receiver's throughput gain gradually decreases because the number of frame packets it overhears decreases, thereby decreasing the number of spoofed ACKs.…”

Section: Identify Spurious Rts/cts Attackmentioning

confidence: 99%

Integrated Combined Layer Algorithm (ICLA) for Jamming Detection in MANET

Dak

Khalid²,

Yahya

2018

IJET

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The nature of MANETs such as open medium, dynamic mobility and lack of security makes it susceptible to a range of attacks. Jamming attacks is recorded as the highest occurring attacks that exist at physical and MAC layers in MANET. Therefore, an integrated combined layer algorithm (ICLA) is proposed using reverse engineering and anomaly detection technique. The methodology begins by collecting data through OPNET. Analysis and evaluation of the data produces three jammers detection Metrics which are used detect jammers. The performance of the outcome are then tested against other jammers’ model at MAC and physical layer to evaluate the detection performance. This enables identification of jamming attack at both lower layers in MANET. It is combination of three tested metrics such as SNR, BER and throughput that able to detect jamming attack using combined layer approach. The combination of these three metrics across layers shows improvement in identification performance.

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Section: Identify Spurious Rts/cts Attackmentioning

confidence: 99%

Integrated Combined Layer Algorithm (ICLA) for Jamming Detection in MANET

Dak

Khalid²,

Yahya

2018

IJET

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“…As mentioned earlier, this channel aware MAC protocol improves the network performance further by scheduling multiple packets (i.e. packet aggregation) for stations that gain network access in good channel conditions (Sarkar, 2010).…”

Section: Transmission Control Algorithmmentioning

confidence: 99%

Design and Evaluation of a Cross-Layer Framework for Improving 802.11 Networks

Sarkar

2013

International Journal of Business Data Communications and Networking

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This paper reports on the design and evaluation of a class of cross-layer design (CLD) framework for improving the performance of 802.11-based wireless local area networks (WLANs). While various CLD approaches have been proposed for improving the performance of WLANs in recent years, the problem of efficient channel utilization, higher throughput, lower packet delay, and fairness has not been fully solved yet. To overcome the performance problems of 802.11, we propose a CLD framework which is based on a cross-layer medium access control (MAC) protocol called the channel-aware buffer unit multiple access (C-BUMA). In the framework, the radio propagation (i.e. physical layer) is combined with the MAC sub-layer to develop a robust cross-layer communication. By sharing channel information with the MAC protocol, the approach reduced unnecessary packet transmissions, and hence reduced bandwidth wastage and significantly improved the system performance. The proposed CLD method is evaluated by extensive simulation experiments. A comparison with 802.11 standards is provided. Results obtained show that the network achieves up to 13.5% higher throughput, 56% lower packet delay, 40% better fairness, and 38% lower packet dropping with the proposed CLD. We also found that the proposed CLD outperforms Pham’s CLD with respect to network throughput and packet dropping. The analysis and empirical results reported in this paper provide some insights into the design and evaluation of a CLD framework for improving data rate of 802.11 networks which may help researchers in this field to overcome the remaining design issues and challenges.

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A cross layer framework for WLANs: Joint radio propagation and MAC protocol

Abstract: This paper proposes a cross-layer design (CLD) framework

Cited by 2 publications

References 17 publications

Integrated Combined Layer Algorithm (ICLA) for Jamming Detection in MANET

Integrated Combined Layer Algorithm (ICLA) for Jamming Detection in MANET

Design and Evaluation of a Cross-Layer Framework for Improving 802.11 Networks

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