FaultNet-Sim: A C++ simulator for failure-prone wireless sensor networks

Wireless sensor networks (WSNs) are crucial for various real-life applications, from environmental and health monitoring systems to home and industrial automation. However, these networks face challenges in failure-prone environments, where sensor nodes must conserve energy while ensuring data reliability. We introduce FaultNet-Sim, a multithreaded simulator that facilitates the development of optimization strategies for balancing energy consumption and data reliability by tuning data transfer intervals in WSNs. The simulator can model different failure conditions and various time-division multiple access (TDMA)-based scheduling techniques, allowing users to analyze trade-offs between data loss and energy. With customizable parameters, FaultNet-Sim is a valuable tool for researchers looking to improve the resilience and efficiency of WSNs in real-world applications. • FaultNet-Sim is a C++ simulator for modeling failure-prone wireless sensor networks. • It supports time-division multiple access scheduling to manage data transmissions. • It implements probabilistic failure models for comprehensive reliability assessments. • It allows data transfer interval optimization to balance energy and reliability. • Simulation results are logged in a database, allowing for more efficient analysis.

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Publication Details

Journal
Software Impacts
Published
2025-07-01
DOI
https://doi.org/10.1016/j.simpa.2025.100776
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

FaultNet-Sim: A C++ simulator for failure-prone wireless sensor networks

Reza Pulungan, Ahmad R. T. Nugraha, Muhammad Alfian Amrizal, Santana Yuda Pradata
Software Impacts
Energy Efficient Wireless Sensor Networks
article

FaultNet-Sim: A C++ simulator for failure-prone wireless sensor networks

Reza Pulungan, Ahmad R. T. Nugraha, Muhammad Alfian Amrizal, Santana Yuda Pradata
article en

Abstract

Wireless sensor networks (WSNs) are crucial for various real-life applications, from environmental and health monitoring systems to home and industrial automation. However, these networks face challenges in failure-prone environments, where sensor nodes must conserve energy while ensuring data reliability. We introduce FaultNet-Sim, a multithreaded simulator that facilitates the development of optimization strategies for balancing energy consumption and data reliability by tuning data transfer intervals in WSNs. The simulator can model different failure conditions and various time-division multiple access (TDMA)-based scheduling techniques, allowing users to analyze trade-offs between data loss and energy. With customizable parameters, FaultNet-Sim is a valuable tool for researchers looking to improve the resilience and efficiency of WSNs in real-world applications. • FaultNet-Sim is a C++ simulator for modeling failure-prone wireless sensor networks. • It supports time-division multiple access scheduling to manage data transmissions. • It implements probabilistic failure models for comprehensive reliability assessments. • It allows data transfer interval optimization to balance energy and reliability. • Simulation results are logged in a database, allowing for more efficient analysis.

Software ImpactsVol. 25
Universitas Gadjah Mada (ID), National Research and Innovation Agency (ID), Telkom University (ID)
Universitas Gadjah Mada
Openalex Percentile: Top 83%
Energy Efficient Wireless Sensor Networks
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FaultNet-Sim: A C++ simulator for failure-prone wireless sensor networks — Reza Pulungan, Ahmad R. T. Nugraha, et al. · Software Impacts (2025) | TGRS Research Map | TGRS