DEVS-RPL: Design Formal Discrete Event Model of Routing Protocol over LLN

The Internet of Things is rapidly advancing, enabling interactions with the physical world and presenting various applications. Routing Protocol over Low-Power and Lossy Networks (RPL) is the routing protocol introduced by the IETF for IoT environments. RPL has been subjected to multiple attacks, making it essential to develop a model that defines its behavior. To achieve this, we propose DEVS-RPL, which employs the discrete event model to specify the normal behavior of network nodes in generating RPL messages. DEVS-RPL estimates the mean and frequency of each generated RPL message by defining the participant states and utilizing the time advance function. As a proof of concept, the normal network traffic produced by the Cooja simulator is compared to the RPL messages generated by the DEVS-RPL model. We find that the mean absolute percentage error (MAPE) of DEVS-RPL is less than 9%, indicating the high accuracy of the proposed model.

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Published
2024-08-19
DOI
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics62450.2024.00067
Primary Topic
Software-Defined Networks and 5G
Type
article
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article

DEVS-RPL: Design Formal Discrete Event Model of Routing Protocol over LLN

Hussah Albinali, Farag Azzedin, Muhammad Hussnain Riaz
Software-Defined Networks and 5G
article

DEVS-RPL: Design Formal Discrete Event Model of Routing Protocol over LLN

Hussah Albinali, Farag Azzedin, Muhammad Hussnain Riaz
article en

Abstract

The Internet of Things is rapidly advancing, enabling interactions with the physical world and presenting various applications. Routing Protocol over Low-Power and Lossy Networks (RPL) is the routing protocol introduced by the IETF for IoT environments. RPL has been subjected to multiple attacks, making it essential to develop a model that defines its behavior. To achieve this, we propose DEVS-RPL, which employs the discrete event model to specify the normal behavior of network nodes in generating RPL messages. DEVS-RPL estimates the mean and frequency of each generated RPL message by defining the participant states and utilizing the time advance function. As a proof of concept, the normal network traffic produced by the Cooja simulator is compared to the RPL messages generated by the DEVS-RPL model. We find that the mean absolute percentage error (MAPE) of DEVS-RPL is less than 9%, indicating the high accuracy of the proposed model.

King Fahd University of Petroleum and Minerals (SA)
Openalex Percentile: Top 78%
Software-Defined Networks and 5G
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DEVS-RPL: Design Formal Discrete Event Model of Routing Protocol over LLN — Hussah Albinali, Farag Azzedin, et al. · (2024) | TGRS Research Map | TGRS