Study and Efficiency Analysis of Data Frames Unification Process for a Pair of Wireless Sensor Networks Protocols ZigBee and WirelessHART

This paper presents an efficiency and performance analysis of the data frame unification process for two wireless sensor network (WSN) protocols, ZigBee and WirelessHART, at the data link layer. A software emulator was developed to enable the unification and interoperability of multiple data frames for both standards, based on a proposed theoretical solution to address interoperability issues in WSN standards. The emulator was implemented using Python within the Visual Studio Code environment. Key performance indicators, such as frame loss rate and total frame processing time, were evaluated under various scenarios and parameters. The results demonstrate that increasing the packet intensity and the number of nodes leads to a proportional increase in both frame processing time and frame loss rate. These findings provide valuable insights into the scalability and efficiency of the proposed solution for WSN interoperability.

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Publication Details

Published
2025-04-08
DOI
https://doi.org/10.1109/reepe63962.2025.10971071
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

Study and Efficiency Analysis of Data Frames Unification Process for a Pair of Wireless Sensor Networks Protocols ZigBee and WirelessHART

Farah J. Yousef
IoT-based Smart Home Systems
article

Study and Efficiency Analysis of Data Frames Unification Process for a Pair of Wireless Sensor Networks Protocols ZigBee and WirelessHART

Farah J. Yousef
article en

Abstract

This paper presents an efficiency and performance analysis of the data frame unification process for two wireless sensor network (WSN) protocols, ZigBee and WirelessHART, at the data link layer. A software emulator was developed to enable the unification and interoperability of multiple data frames for both standards, based on a proposed theoretical solution to address interoperability issues in WSN standards. The emulator was implemented using Python within the Visual Studio Code environment. Key performance indicators, such as frame loss rate and total frame processing time, were evaluated under various scenarios and parameters. The results demonstrate that increasing the packet intensity and the number of nodes leads to a proportional increase in both frame processing time and frame loss rate. These findings provide valuable insights into the scalability and efficiency of the proposed solution for WSN interoperability.

Lomonosov Moscow State University (RU), Moscow State Technological University (RU)
Affordable and clean energy
Openalex Percentile: Top 92%
IoT-based Smart Home Systems
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