Design and Development of Forest Fire Monitoring Terminal

Fengbo, Wu; Xitong, Lv; Zhang, Huike

doi:10.1109/snsp.2018.00017

Cited by 9 publications

(5 citation statements)

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“…To meet the needs of wireless sensor network-based applications, the multisensor data fusion technique, which combines data streams from multiple sensors, must improve accuracy requirements. In recent years, the emergence of multi-application paradigms in wireless sensor networks has enabled sensors to observe their surroundings [7]. Multi-sensor fusion's primary goal is to improve system performance by combining data from all sensors.…”

Section: Adkf-dt Multisensor Fustion Techniquementioning

confidence: 99%

Multisensor Information Fusion and Optimization Technique for Wildfire Detection and Prevention in WSN Environment

Reyana

Vijayalakshmi

2022

Preprint

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Monitoring natural traits like temperature and humidity are imperative for evaluating climate change. Remote sensing applications in wireless sensor networks face a crucial issue in transmitting the information from sensors in a continuous period to the gateway nodes for processing. Correspondingly, sensor nodes are subject to low memory and processing limitations in concern to wireless sensor networks. Wildfires can be started intentionally or unintentionally. The result, however, is disastrous, causing irreversible damage to the ecosystem. With the advancement of intelligent sensor-based control technologies, data fusion and classification have become an essential component of the environmental monitoring system. To predict the occurrence of fire in forests, a fast and effective intelligent control system using Adaptive Decentralized Kalman Filter is proposed. The Decision tree classification can successfully solve problems on the side of the sink node. Thus the described Decision tree classification determines whether fire detection parameters are in the acceptable range and further utilizes a fuzzy-based optimization to improve the performance of the considered complex fusion environment. The experimental results of the proposed model have a detection rate of 98.3 %, demonstrating that the proposed technique is robust. Thus, providing real-time monitoring of certain environmental variables for continuous situational awareness and instant responsiveness.

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Section: Adkf-dt Multisensor Fustion Techniquementioning

confidence: 99%

Multisensor Information Fusion and Optimization Technique for Wildfire Detection and Prevention in WSN Environment

Reyana

Vijayalakshmi

2022

Preprint

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“…Monitoring potentially dangerous areas and providing early warning of fires will greatly reduce response time, potential damage, and firefighting costs [6]. As a result, it is critical to identify the fire situation and accurately determine the ignition point and real-time dynamics [7].…”

Section: Introductionmentioning

confidence: 99%

Multisensor Information Fusion for Condition Based Environment Monitoring

Reyana¹,

Vijayalakshmi²

2023

Intelligent Automation &Amp; Soft Computing

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Destructive wildfires are becoming an annual event, similar to climate change, resulting in catastrophes that wreak havoc on both humans and the environment. The result, however, is disastrous, causing irreversible damage to the ecosystem. The location of the incident and the hotspot can sometimes have an impact on early fire detection systems. With the advancement of intelligent sensor-based control technologies, the multi-sensor data fusion technique integrates data from multiple sensor nodes. The primary objective to avoid wildfire is to identify the exact location of wildfire occurrence, allowing fire units to respond as soon as possible. Thus to predict the occurrence of fire in forests, a fast and effective intelligent control system is proposed. The proposed algorithm with decision tree classification determines whether fire detection parameters are in the acceptable range and further utilizes a fuzzy-based optimization to optimize the complex environment. The experimental results of the proposed model have a detection rate of 98.3. Thus, providing real-time monitoring of certain environmental variables for continuous situational awareness and instant responsiveness.

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“…Wildland areas tend to be complex environments that cover one-third of the Earth's surface [1]. These locations are affected by various environmental and anthropic factors and by fires, which are the most dangerous and destructive due to the speed of their propagation [2]. Approximately 67 million hectares were affected worldwide by wildland fires between 2003 and 2012 [3].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the impact caused by a wildland fire can be seen based on the damage caused to the ecosystem (flora and fauna) and to all types of organisms existing in the affected perimeter, as well as a reduction in the regenerative capacity of the forest itself and conservation of the water resource [2]. Destructive and recurring (high-intensity) wildland fires are one of the greatest dangers to the viability and sustainable development of wildlands, and they affect the natural and cultural surroundings, the economy, and the quality of life of local and regional populations [5].…”

Section: Introductionmentioning

confidence: 99%

Decision Support System Development of Wildland Fire: A Systematic Mapping

Vásquez

Cravero

Castro

et al. 2021

Forests

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Wildland fires have been a rising problem on the worldwide level, generating ecological and economic losses. Specifically, between wildland fire types, uncontrolled fires are critical due to the potential damage to the ecosystem and their effects on the soil, and, in the last decade, different technologies have been applied to fight them. Selecting a specific technology and Decision Support Systems (DSS) is fundamental, since the results and validity of this could drastically oscillate according to the different environmental and geographic factors of the terrain to be studied. Given the above, a systematic mapping was realized, with the purpose of recognizing the most-used DSS and context where they have been applied. One hundred and eighty-three studies were found that used different types of DSS to solve problems of detection, prediction, prevention, monitoring, simulation, administration, and access to routes. The concepts key to the type of solution are related to the use or development of systems or Information and Communication Technologies (ICT) in the computer science area. Although the use of BA and Big Data has increased in recent years, there are still many challenges to face, such as staff training, the friendly environment of DSS, and real-time decision-making.

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Design and Development of Forest Fire Monitoring Terminal

Cited by 9 publications

References 0 publications

Multisensor Information Fusion and Optimization Technique for Wildfire Detection and Prevention in WSN Environment

Multisensor Information Fusion and Optimization Technique for Wildfire Detection and Prevention in WSN Environment

Multisensor Information Fusion for Condition Based Environment Monitoring

Decision Support System Development of Wildland Fire: A Systematic Mapping

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