Fuzzy logic based packet scheduling algorithm
for Mobile ad-hoc Network with a realistic
propagation model

Oche Alexander Egaji; Alison Griffiths; Mohammad S. Hasan; Hongnian Yu

Fuzzy logic based packet scheduling algorithm for Mobile ad-hoc Network with a realistic propagation model

Oche Alexander Egaji, Alison Griffiths, Mohammad S. Hasan, Hongnian Yu

Faculty of Computing, Engineering and Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this paper, we propose a priority based scheduling algorithm for Mobile Ad-hoc Network (MANET) using fuzzy logic. The fuzzy system has three inputs: data rate, Signal-to-Noise Ratio (SNR) and queue size. The fuzzy system was verified using MATLAB fuzzy toolbox and the performance of the algorithm was evaluated using OPNET simulator. The results were compared to an existing fuzzy scheduler. The measuring metrics which form the basis for the performance evaluation were end-to-end delay, throughput and packet delivery ratio. The proposed scheduler performed better than the existing scheduler; an average improvement of 37% for end-to-end delay, 56% for throughput and 57% for the packet delivery ratio. However, this comes at the cost of additional computational complexity. The existing fuzzy scheduler injects an additional packet processing time of 46ns whilst the proposed scheduler injects 165ns.

Original language	English
Title of host publication	The 19th International Conference on Automation & Computing, Brunel University, Uxbridge, UK, 13-14 September 2013
Publisher	Institute of Electrical and Electronics Engineers
Publication status	Published - 2013

Cite this

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title = "Fuzzy logic based packet scheduling algorithm for Mobile ad-hoc Network with a realistic propagation model",

abstract = "In this paper, we propose a priority based scheduling algorithm for Mobile Ad-hoc Network (MANET) using fuzzy logic. The fuzzy system has three inputs: data rate, Signal-to-Noise Ratio (SNR) and queue size. The fuzzy system was verified using MATLAB fuzzy toolbox and the performance of the algorithm was evaluated using OPNET simulator. The results were compared to an existing fuzzy scheduler. The measuring metrics which form the basis for the performance evaluation were end-to-end delay, throughput and packet delivery ratio. The proposed scheduler performed better than the existing scheduler; an average improvement of 37% for end-to-end delay, 56% for throughput and 57% for the packet delivery ratio. However, this comes at the cost of additional computational complexity. The existing fuzzy scheduler injects an additional packet processing time of 46ns whilst the proposed scheduler injects 165ns.",

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Fuzzy logic based packet scheduling algorithm for Mobile ad-hoc Network with a realistic propagation model. / Egaji, Oche Alexander; Griffiths, Alison; Hasan, Mohammad S. et al.

The 19th International Conference on Automation & Computing, Brunel University, Uxbridge, UK, 13-14 September 2013. Institute of Electrical and Electronics Engineers, 2013.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Fuzzy logic based packet scheduling algorithm for Mobile ad-hoc Network with a realistic propagation model

AU - Egaji, Oche Alexander

AU - Griffiths, Alison

AU - Hasan, Mohammad S.

AU - Yu, Hongnian

PY - 2013

Y1 - 2013

N2 - In this paper, we propose a priority based scheduling algorithm for Mobile Ad-hoc Network (MANET) using fuzzy logic. The fuzzy system has three inputs: data rate, Signal-to-Noise Ratio (SNR) and queue size. The fuzzy system was verified using MATLAB fuzzy toolbox and the performance of the algorithm was evaluated using OPNET simulator. The results were compared to an existing fuzzy scheduler. The measuring metrics which form the basis for the performance evaluation were end-to-end delay, throughput and packet delivery ratio. The proposed scheduler performed better than the existing scheduler; an average improvement of 37% for end-to-end delay, 56% for throughput and 57% for the packet delivery ratio. However, this comes at the cost of additional computational complexity. The existing fuzzy scheduler injects an additional packet processing time of 46ns whilst the proposed scheduler injects 165ns.

AB - In this paper, we propose a priority based scheduling algorithm for Mobile Ad-hoc Network (MANET) using fuzzy logic. The fuzzy system has three inputs: data rate, Signal-to-Noise Ratio (SNR) and queue size. The fuzzy system was verified using MATLAB fuzzy toolbox and the performance of the algorithm was evaluated using OPNET simulator. The results were compared to an existing fuzzy scheduler. The measuring metrics which form the basis for the performance evaluation were end-to-end delay, throughput and packet delivery ratio. The proposed scheduler performed better than the existing scheduler; an average improvement of 37% for end-to-end delay, 56% for throughput and 57% for the packet delivery ratio. However, this comes at the cost of additional computational complexity. The existing fuzzy scheduler injects an additional packet processing time of 46ns whilst the proposed scheduler injects 165ns.

UR - https://ieeexplore.ieee.org/abstract/document/6662014

M3 - Chapter

BT - The 19th International Conference on Automation & Computing, Brunel University, Uxbridge, UK, 13-14 September 2013

PB - Institute of Electrical and Electronics Engineers

ER -

Fuzzy logic based packet scheduling algorithm for Mobile ad-hoc Network with a realistic propagation model

Abstract

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