A wireless sensor network for early forest fire detection and monitoring as a decision factor in the context of a complex integrated emergency response system

Abdullah, Sakib; Bertalan, Sandor; Masar, Stanislav; Coskun, Adem; Kale, I.

doi:10.1109/eesms.2017.8052688

Cited by 29 publications

(14 citation statements)

References 4 publications

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“…The advanced very high resolution radiometer (AVHRR) [1], launched in 1998 B. The moderate resolution imaging spectroradiometer (MODIS), launched in 1999, have been used [2]" "NIDM [3] Provisions of modern and effective tools and machinery e.g. Fire Beaters, Forest Fire Showel, Pulaskis Tools, Fire Rakes, McLeod Tools, Brush Tools, Power Blowers, Back-Pack Pump Sets, Fire Tenders etc."…”

Section: Literature Reviewmentioning

confidence: 99%

Forest Fire Indication & Control System

Sharma¹

2021

IJRASET

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In this paper we have researched on the forest fire control system. This system is implemented to save forests from uncertain fire events.it is practically small system having capacity to detect fire in range of 100cm .When temperature and fire increases in any particular area of forest . This device is capable to detect it and with the help of buzzer it alerts the whole system and with a new feature of control fire it certainly take action on the stoppage of fire . This system is very cheap and very simple in manufacturing which makes it handy. By use of arduino nano we can easily control its range and functioning. Its feature of display temparature and humidity on LCD makes it vital in protection of forest . This project can be easy to implement with less maintenance cost and economical in price can lighten up the markets by its features. The main aim was economizing this project so that it can easily be implementing.

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Section: Literature Reviewmentioning

confidence: 99%

Forest Fire Indication & Control System

Sharma¹

2021

IJRASET

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“…In many of these applications, the nodes in the network are mobile and knowledge of their positions is a prerequisite for completing the task, and crucial for information sharing, data collection, and scheduling [ 9 ]. For example, if the locations of the nodes are unknown or significantly incorrect, the data they have collected from surrounding environment, such as wildlife [ 10 ] or weather information [ 11 ], will be useless, since the positional information is not available.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Localization Using Distance Measurements for Mobile Nodes

Jelfs

Kealy

et al. 2021

Sensors

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This paper considers the two-dimensional (2D) anchorless localization problem for sensor networks in global positioning system (GPS)-denied environments. We present an efficient method, based on the multidimensional scaling (MDS) algorithm, in order to estimate the positions of the nodes in the network using measurements of the inter-node distances. The proposed method takes advantage of the mobility of the nodes to address the location ambiguity problem, i.e., rotation and flip ambiguity, which arises in the anchorless MDS algorithm. Knowledge of the displacement of the moving node is used to produce an analytical solution for the noise-free case. Subsequently, a least squares estimator is presented for the noisy scenario and the associated closed-form solution derived. The simulations show that the proposed algorithm accurately and efficiently estimates the locations of nodes, outperforming alternative methods.

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“…ISRO estimated the extent of burnt area to be about 10,920 acres in the last five days since 21 February 2019. To this effect, over the ages, various technologies have been deployed for the monitoring of regions susceptible to such fires [1]- [2]. These have ranged from manned watch towers, to advanced cameras as well as satellite imaging.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Wildfire Monitoring System

Choudhary¹

2021

IJMTST

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In today’s era, wildlife and forest departments are facing the problem of movement of animals from forests to residential area. The number of trees has reduced drastically which creates an unhealthy environment for animals and for humans. Findings of a survey suggest that 80% losses are caused due to wildfire. This could have been avoided if the fire was detected in the early stages. This paper suggests a system for alarming the authorities in case of a bushfire. Nowadays, IoT (Internet of Things) devices and sensors allow the monitoring of the forest ecosystem, such as temperature and smoke. Arduino platform based IoT enabled fire detector and monitoring system is the solution to this problem. In this paper, fire detector using Arduino NANO is built which is interfaced with a fire sensor and smoke sensor. Whenever fire occurs, the system automatically senses and alerts the administrator by sending the message on the user’s mobile device.

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A wireless sensor network for early forest fire detection and monitoring as a decision factor in the context of a complex integrated emergency response system

Cited by 29 publications

References 4 publications

Forest Fire Indication & Control System

Forest Fire Indication & Control System

Cooperative Localization Using Distance Measurements for Mobile Nodes

Design and Implementation of Wildfire Monitoring System

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