Santana Yuda Pradata , Muhammad Alfian Amrizal , Ahmad Ridwan Tresna Nugraha , Reza Pulungan
{"title":"FaultNet-Sim: A C++ simulator for failure-prone wireless sensor networks","authors":"Santana Yuda Pradata , Muhammad Alfian Amrizal , Ahmad Ridwan Tresna Nugraha , Reza Pulungan","doi":"10.1016/j.simpa.2025.100776","DOIUrl":null,"url":null,"abstract":"<div><div>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 the trade-offs between data loss and energy consumption. With customizable parameters, FaultNet-Sim is a valuable tool for researchers looking to improve the resilience and efficiency of WSNs in real-world applications.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100776"},"PeriodicalIF":1.2000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software Impacts","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665963825000363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
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 the trade-offs between data loss and energy consumption. With customizable parameters, FaultNet-Sim is a valuable tool for researchers looking to improve the resilience and efficiency of WSNs in real-world applications.