Forest fire detection using wireless sensor networks

Dasari, Premsai; Reddy, Gundam Krishna Jayanth; Gudipalli, Abhishek

doi:10.21307/ijssis-2020-006

Cited by 23 publications

(7 citation statements)

References 9 publications

(8 reference statements)

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“…A detection system of forest fires relying on Wireless Sensor Networks (WSNs) was proposed in [ 26 ]. There are three main stages used in this system: the sensing stage, routing stage, and communication stage.…”

Section: Related Workmentioning

confidence: 99%

Forest Fire Detection Using New Routing Protocol

AL‐Dhief

Muniyandi

Sabri³

et al. 2022

Sensors

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The Mobile Ad-Hoc Network (MANET) has received significant interest from researchers for several applications. In spite of developing and proposing numerous routing protocols for MANET, there are still routing protocols that are too inefficient in terms of sending data and energy consumption, which limits the lifetime of the network for forest fire monitoring. Therefore, this paper presents the development of a Location Aided Routing (LAR) protocol in forest fire detection. The new routing protocol is named the LAR-Based Reliable Routing Protocol (LARRR), which is used to detect a forest fire based on three criteria: the route length between nodes, the temperature sensing, and the number of packets within node buffers (i.e., route busyness). The performance of the LARRR protocol is evaluated by using widely known evaluation measurements, which are the Packet Delivery Ratio (PDR), Energy Consumption (EC), End-to-End Delay (E2E Delay), and Routing Overhead (RO). The simulation results show that the proposed LARRR protocol achieves 70% PDR, 403 joules of EC, 2.733 s of E2E delay, and 43.04 RO. In addition, the performance of the proposed LARRR protocol outperforms its competitors and is able to detect forest fires efficiently.

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Section: Related Workmentioning

confidence: 99%

Forest Fire Detection Using New Routing Protocol

AL‐Dhief

Muniyandi

Sabri³

et al. 2022

Sensors

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“…The literature review describes various WSN applications for supporting or monitoring fires from different perspectives, especially when it comes to monitoring the spread of wildfires. For example, Dasari et al [19] described a network of simulated sensors used in OMNeT++ programming language to create a mechanism for the early detection of forest fires. A graphical user interface (GUI) displays real-time temperature monitoring and its respective alert settings in an emergency.…”

Section: Wireless Sensor Network For Monitoring Wildfiresmentioning

confidence: 99%

Outside Dynamic Evacuation Routes to Escape a Wildfire: A Prototype App for Forest Firefighters

et al. 2021

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This paper describes a prototype application to use different algorithms for creating optimal evacuation routes in the presence of a wildfire with a dynamic event-based update. The application uses a meteorological API that obtains real-time temperature, atmospheric pressure, humidity, speed, and wind direction of each location within an area using geographic coordinates (latitude and longitude) for creating a sensor network. The data are stored in a database for monitoring and visualization using the open-source platform Grafana, which includes an early warning mechanism that sends messages when it detects a temperature outside the normal range. Three different simulation scenarios were evaluated, varying the fire’s starting point coordinates and the evacuation route. The results show that the algorithm reacts to the presence of fire, maximizing safety margins even on longer evacuation routes. The prototype can be used to create an application to fight forest fires and safeguard rescue agents’ lives.

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“…Malykhina et al purposed a system that uses a wireless thread interface at its core to detect fire at early stages in plants [24]. The interface provides the facility to use the sensor to be moved freely around.…”

Section: Related Workmentioning

confidence: 99%

Smart Fire Detection and Deterrent System for Human Savior by Using Internet of Things (IoT)

et al. 2021

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Fire monitoring systems have usually been based on a single sensor such as smoke or flame. These single sensor systems have been unable to distinguish between true and false presence of fire, such as a smoke from a cigarette which might cause the fire alarm to go off. Consuming energy all day long and being dependent on one sensor that might end with false alert is not efficient and environmentally friendly. We need a system that is efficient not only in sensing fire accurately, but we also need a solution which is smart. In order to improve upon the results of existing single sensor systems, our system uses a combination of three sensors to increase the efficiency. The result from the sensor is then analyzed by a specified rule-set using an AI-based fuzzy logic algorithm; defined in the purposed research, our system detects the presence of fire. Our system is designed to make smart decisions based on the situation; it provides feature updated alerts and hardware controls such as enabling a mechanism to start ventilation if the fire is causing suffocation, and also providing water support to minimize the damage. The purposed system keeps updating the management about the current severity of the environment by continually sensing any change in the environment during fire. The purposed system proved to provide accurate results in the entire 15 test performed around different intensities of a fire situation. The simulation work for the SMDD is done using MATLAB and the result of the experiments is satisfactory.

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Forest fire detection using wireless sensor networks

Cited by 23 publications

References 9 publications

Forest Fire Detection Using New Routing Protocol

Forest Fire Detection Using New Routing Protocol

Outside Dynamic Evacuation Routes to Escape a Wildfire: A Prototype App for Forest Firefighters

Smart Fire Detection and Deterrent System for Human Savior by Using Internet of Things (IoT)

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