Radio Irregularity Model in OMNeT++ Behruz Khalilov, Anna Frster and - - PowerPoint PPT Presentation

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Radio Irregularity Model in OMNeT++ Behruz Khalilov, Anna Frster and - - PowerPoint PPT Presentation

Sep 06, 2022 298 likes •438 views

Radio Irregularity Model in OMNeT++ Behruz Khalilov, Anna Frster and Asanga Udugama University of Bremen, Germany OMNeT++ Community Summit 2017 University of Bremen, Germany September 07 09, 2017 Contents Motivation Radio Irregularity

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Radio Irregularity Model in OMNeT++

OMNeT++ Community Summit 2017 University of Bremen, Germany September 07 – 09, 2017

Behruz Khalilov, Anna Förster and Asanga Udugama

University of Bremen, Germany

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SLIDE 2

Contents

Motivation Radio Irregularity Model RIM Architecture in INET INET Implementation of RIM Evaluations Summary and Future Work

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Motivation

Wide range use of Wireless Sensor Networks in various domains

Over 200 billion devices by 2020

Radio Irregularity is a non-negligible phenomenon

Direct impact on a protocol performance Asymmetric link Loss of packets

Large scale of Devices in the WSN - Large

Require simulators – OMNeT++

Most of existing simulation models assume a spherical radio pattern

Free Space Path Loss

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SLIDE 4

RIM Model

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  • G. Zhou et al, Models and Solutions for Radio Irregularity in Wireless

Sensor Networksd, ACM Transactions on Sensor Networks, May 2006

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Radio Irregularity Model

Introduces real data into simulations

Hybrid approach

Enhances isotropic radio models by targeting three main parameters

Anisotropy Continuous variation Heterogeneity

DOI – the degree of irregularity is introduced to denote the irregularity of a radio range

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RIM Architecture in INET

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  • Fig. 1. Class inheritance diagram of the RIM implementa>on
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RIM Implementation

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Extends the FreeSpacePathLoss (FSPL) Main algorithm:

Compute the path loss using FSPL Compute angle between sender and receiver Use the RIM Model to compute the DOI-adjusted path loss

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– –

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RIM Implementation in OMNeT++

  • 𝐿𝑗

𝐿𝑗 = 1; 𝑗 = 0. 𝐿𝑗 ± 𝑆𝑏𝑜𝑒 ∗ 𝐸𝑃𝐽; 0 < 𝑗 < 360° |𝐿0 − 𝐿359| ≤ 𝐸𝑃𝐽

  • 𝐿𝑗

𝐸𝑃𝐽 𝐵𝑒𝑘𝑣𝑡𝑢𝑓𝑒 𝑄𝑏𝑢ℎ 𝑀𝑝𝑡𝑡 = 𝑄𝑏𝑢ℎ𝑀𝑝𝑡𝑡 ∗ 𝐿𝑗

  • 𝑆𝑓𝑑𝑓𝑗𝑤𝑓𝑒𝑇𝑗𝑕𝑜𝑏𝑚𝑇𝑢𝑠𝑓𝑜𝑕𝑢ℎ = 𝑇𝑓𝑜𝑒𝑗𝑜𝑕 𝑄𝑝𝑥𝑓𝑠 − 𝐸𝑃𝐽𝐵𝑒𝑘𝑣𝑡𝑢𝑓𝑒𝑄𝑏𝑢ℎ𝑀𝑝𝑡𝑡 + 𝐺𝑏𝑒𝑗𝑜𝑕

𝐸𝑃𝐽𝐵𝑒𝑘𝑣𝑡𝑢𝑓𝑒𝑄𝑏𝑢ℎ𝑀𝑝𝑡𝑡 = 𝑄𝑏𝑢ℎ𝑀𝑝𝑡𝑡 ∗ 𝐿𝑗

  • 𝑺𝒃𝒐𝒆 –
  • –
  • –
  • –

– –

  • –
  • 𝐿𝑗

the start of the simulation run for each node. 𝐿𝑗 = 1; 𝑗 = 0. 𝐿𝑗 ± 𝑆𝑏𝑜𝑒 ∗ 𝐸𝑃𝐽; 0 < 𝑗 < 360° |𝐿0 − 𝐿359| ≤ 𝐸𝑃𝐽

  • Compute path loss using FSPL
  • 𝐿𝑗

𝐸𝑃𝐽 𝐵𝑒𝑘𝑣𝑡𝑢𝑓𝑒 𝑄𝑏𝑢ℎ 𝑀𝑝𝑡𝑡 = 𝑄𝑏𝑢ℎ𝑀𝑝𝑡𝑡 ∗ 𝐿𝑗

  • 𝑆𝑓𝑑𝑓𝑗𝑤𝑓𝑒𝑇𝑗𝑕𝑜𝑏𝑚𝑇𝑢𝑠𝑓𝑜𝑕𝑢ℎ = 𝑇𝑓𝑜𝑒𝑗𝑜𝑕 𝑄𝑝𝑥𝑓𝑠 − 𝐸𝑃𝐽𝐵𝑒𝑘𝑣𝑡𝑢𝑓𝑒𝑄𝑏𝑢ℎ𝑀𝑝𝑡𝑡 + 𝐺𝑏𝑒𝑗𝑜𝑕

𝐸𝑃𝐽𝐵𝑒𝑘𝑣𝑡𝑢𝑓𝑒𝑄𝑏𝑢ℎ𝑀𝑝𝑡𝑡 = 𝑄𝑏𝑢ℎ𝑀𝑝𝑡𝑡 ∗ 𝐿𝑗

  • 𝑺𝒃𝒐𝒆 –
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Coefficients of irregularity (ki) are pre-computed!

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Parameters

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Random numbers are generated using the Weibull distribution a– The scale parameter of the Weibull distribution. b – The shape parameter of the Weibull distribution DOI – The degree of irregularity

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Evaluations

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Represents the variation of path losses in a different directions

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Summary

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RIM – illustrates the irregularity of a radio range. Based on real dataset Estimates path losses in an anisotropic environment Purpose of this work – implementation of the RIM model in OMNeT++ Currently available at Github (search: RIMFading)

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Future Works

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RIM is limited in a space domain. The effect of time is neglected. The model does not consider any obstacles in between

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Thank You.

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