Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application

The wildfires caused by human occupation is one of the factors that most contributes to deforestation of conservation areas, resulting in a number of issues for ecological systems. Premature fire detections lead to the elimination or reduction of the damage that will be caused by a fire incident. Wi...

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Main Authors: Felipe Taliar Giuntini, Delano Medeiros Beder, Jó Ueyama
Format: Article
Language:English
Published: Wiley 2017-04-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147717704120
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author Felipe Taliar Giuntini
Delano Medeiros Beder
Jó Ueyama
author_facet Felipe Taliar Giuntini
Delano Medeiros Beder
Jó Ueyama
author_sort Felipe Taliar Giuntini
collection DOAJ
description The wildfires caused by human occupation is one of the factors that most contributes to deforestation of conservation areas, resulting in a number of issues for ecological systems. Premature fire detections lead to the elimination or reduction of the damage that will be caused by a fire incident. Wireless sensor networks have been shown to be a good alternative for environmental monitoring applications, as they can collect and send information in real time, such as humidity, wind, and temperature of various parts of the forest. Due to problems such as power limitation, communication failure, and loss of nodes, the network topology is constantly changing, requiring mechanisms to achieve self-organization and fault tolerance. This article proposes the development of a model and application in self-organizing and fault-tolerant wireless sensor networks for fire detection in conservation areas. To achieve self-organization and fault tolerance, we rely on encouraged local interactions between neighboring nodes that monitor the same region and the coordination of tasks, through a supervisor node, equipped with a framework for developing component-based fault-tolerant applications. For the analysis and validation of both model and application, it was simulated 60 events in the network of sensors in a real scenario using the simulator Sinalgo. The results were classified as True (partial or absolute) or False (partial or absolute). In all, 45% of consensus identified a possible fault in the application and in only 35% there was absolute consensus.
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institution Kabale University
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language English
publishDate 2017-04-01
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series International Journal of Distributed Sensor Networks
spelling doaj-art-9b4570d86d154ced9f16f11e67c95b6d2025-02-03T06:43:17ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-04-011310.1177/1550147717704120Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection applicationFelipe Taliar Giuntini0Delano Medeiros Beder1Jó Ueyama2Institute of Mathematics and Computer Sciences, University of São Paulo, São Paulo, BrazilDepartment of Computer Science, Federal University of São Carlos, São Carlos, BrazilInstitute of Mathematics and Computer Sciences, University of São Paulo, São Paulo, BrazilThe wildfires caused by human occupation is one of the factors that most contributes to deforestation of conservation areas, resulting in a number of issues for ecological systems. Premature fire detections lead to the elimination or reduction of the damage that will be caused by a fire incident. Wireless sensor networks have been shown to be a good alternative for environmental monitoring applications, as they can collect and send information in real time, such as humidity, wind, and temperature of various parts of the forest. Due to problems such as power limitation, communication failure, and loss of nodes, the network topology is constantly changing, requiring mechanisms to achieve self-organization and fault tolerance. This article proposes the development of a model and application in self-organizing and fault-tolerant wireless sensor networks for fire detection in conservation areas. To achieve self-organization and fault tolerance, we rely on encouraged local interactions between neighboring nodes that monitor the same region and the coordination of tasks, through a supervisor node, equipped with a framework for developing component-based fault-tolerant applications. For the analysis and validation of both model and application, it was simulated 60 events in the network of sensors in a real scenario using the simulator Sinalgo. The results were classified as True (partial or absolute) or False (partial or absolute). In all, 45% of consensus identified a possible fault in the application and in only 35% there was absolute consensus.https://doi.org/10.1177/1550147717704120
spellingShingle Felipe Taliar Giuntini
Delano Medeiros Beder
Jó Ueyama
Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application
International Journal of Distributed Sensor Networks
title Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application
title_full Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application
title_fullStr Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application
title_full_unstemmed Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application
title_short Exploiting self-organization and fault tolerance in wireless sensor networks: A case study on wildfire detection application
title_sort exploiting self organization and fault tolerance in wireless sensor networks a case study on wildfire detection application
url https://doi.org/10.1177/1550147717704120
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AT delanomedeirosbeder exploitingselforganizationandfaulttoleranceinwirelesssensornetworksacasestudyonwildfiredetectionapplication
AT joueyama exploitingselforganizationandfaulttoleranceinwirelesssensornetworksacasestudyonwildfiredetectionapplication