scholarly journals Energy-Efficient Forest Fire Prediction Model based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol

2018 ◽  
Author(s):  
Jin-Gu Kang ◽  
Dong-Woo Lim ◽  
Jin-Woo Jung
Keyword(s):  
Prediction Model ◽  
Forest Fire ◽  
Duty Cycle ◽  
Forest Fires ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Two Stage ◽  
Fire Monitoring ◽  
Environmental Status ◽  
Mountain Environment

In this paper, we propose an adaptive duty-cycled hybrid X-MAC (ADX-MAC) protocol for energy-efficient forest fire prediction. The X-MAC protocol acquires the additional environmental status collected by each forest fire monitoring sensor for a certain period. And, based on these values, the length of sleep interval of duty-cycle is changed to efficiently calculate the risk of occurrence of forest fire according to the mountain environment. The performance of the proposed ADX-MAC protocol was verified through experiments the proposed ADX-MAC protocol improves throughput by 19% and was more energy-efficient by 24% compared to X-MAC protocol. As the probability of forest fires increases, the length of the duty cycle is shortened, confirming that the forest fires are detected at a faster cycle.

scholarly journals Energy-Efficient Forest Fire Prediction Model based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol

2018 ◽  
Author(s):  
Jin-Gu Kang ◽  
Dong-Woo Lim ◽  
Jin-Woo Jung
Keyword(s):  
Prediction Model ◽  
Forest Fire ◽  
Duty Cycle ◽  
Forest Fires ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Two Stage ◽  
Fire Monitoring ◽  
Environmental Status ◽  
Mountain Environment

In this paper, we propose an adaptive duty-cycled hybrid X-MAC (ADX-MAC) protocol for energy-efficient forest fire prediction. The X-MAC protocol acquires the additional environmental status collected by each forest fire monitoring sensor for a certain period. And, based on these values, the length of sleep interval of duty-cycle is changed to efficiently calculate the risk of occurrence of forest fire according to the mountain environment. The performance of the proposed ADX-MAC protocol was verified through experiments the proposed ADX-MAC protocol improves throughput by 19% and was more energy-efficient by 24% compared to X-MAC protocol. As the probability of forest fires increases, the length of the duty cycle is shortened, confirming that the forest fires are detected at a faster cycle.

scholarly journals Energy-Efficient Forest Fire Prediction Model Based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2960 ◽  
Author(s):  
Jin-Gu Kang ◽  
Dong-Woo Lim ◽  
Jin-Woo Jung
Keyword(s):  
Prediction Model ◽  
Forest Fire ◽  
Duty Cycle ◽  
Forest Fires ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Fire Occurrence ◽  
Fire Monitoring ◽  
Environmental Status ◽  
Environment Performance

This paper proposes an adaptive duty-cycled hybrid X-MAC (ADX-MAC) protocol for energy-efficient forest fire prediction. The Asynchronous sensor network protocol, X-MAC protocol, acquires additional environmental status details from each forest fire monitoring sensor for a given period, and then changes the duty-cycle sleep interval to efficiently calculate forest fire occurrence risk according to the environment. Performance was verified experimentally, and the proposed ADX-MAC protocol improved throughput by 19% and was 24% more energy efficient compared to the X-MAC protocol. The duty-cycle was shortened as forest fire probability increased, ensuring forest fires were detected at faster cycle rate.

scholarly journals An Environmentally Aware Scheme of Wireless Sensor Networks for Forest Fire Monitoring and Detection

2018 ◽  
Vol 10 (10) ◽  
pp. 102 ◽  
Author(s):  
Yi-Han Xu ◽  
Qiu-Ya Sun ◽  
Yu-Tong Xiao
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Forest Fire ◽  
Forest Fires ◽  
Network Architecture ◽  
Resource Constraints ◽  
Wireless Sensor ◽  
Surveillance Systems ◽  
Fire Monitoring

Forest fires are a fatal threat to environmental degradation. Wireless sensor networks (WSNs) are regarded as a promising candidate for forest fire monitoring and detection since they enable real-time monitoring and early detection of fire threats in an efficient way. However, compared to conventional surveillance systems, WSNs operate under a set of unique resource constraints, including limitations with respect to transmission range, energy supply and computational capability. Considering that long transmission distance is inevitable in harsh geographical features such as woodland and shrubland, energy-efficient designs of WSNs are crucial for effective forest fire monitoring and detection systems. In this paper, we propose a novel framework that harnesses the benefits of WSNs for forest fire monitoring and detection. The framework employs random deployment, clustered hierarchy network architecture and environmentally aware protocols. The goal is to accurately detect a fire threat as early as possible while maintaining a reasonable energy consumption level. ns-2-based simulation validates that the proposed framework outperforms the conventional schemes in terms of detection delay and energy consumption.

scholarly journals Detection of forest fires outbreaks by dynamic fuzzy logic controller

2020 ◽  
Author(s):  
Josué Toledo-Castro ◽  
Nayra Rodríguez-Pérez ◽  
Pino Caballero-Gil ◽  
Iván Santos-González ◽  
Candelaria Hernández-Goya ◽  
...  
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Fuzzy Logic Controller ◽  
Environmental Data ◽  
Wireless Sensor ◽  
Dynamic Update ◽  
Environmental Status ◽  
The Internet Of Things ◽  
Dynamic Variables ◽  
Fire Outbreak

Abstract The use of wireless sensor networks (WSNs) and the Internet of things to detect forest fire outbreaks may help to reduce the response time and avoid natural disasters. This work proposes the deployment of WSN to enhance the real-time monitoring of dynamic variables such as polluting gases, temperature or the presence of fire flames by infrared. In addition, the activation of forest fire alerts if environmental status may involve evidence of a recent fire outbreak. A fuzzy-based controller is implemented to manage the uncertainty related to estimating forest fire occurrence and dynamic update of fuzzy sets is developed to distinguish usual and unusual environmental conditions of every monitored forest area. Merkle trees, AES and hash functions are considered to protect the integrity of environmental data.

Three-Dimensional Dynamic Simulation System for Forest Surface Fire Spreading Prediction

2018 ◽  
Vol 32 (08) ◽  
pp. 1850026 ◽  
Author(s):  
Jianwei Li ◽  
Xiaowen Li ◽  
Chongchen Chen ◽  
Huiru Zheng ◽  
Naiyuan Liu
Keyword(s):  
Prediction Model ◽  
Forest Fire ◽  
Forest Fires ◽  
Large Scale ◽  
Three Dimensional ◽  
Simulation System ◽  
Dynamic Visualization ◽  
Surface Fire ◽  
Fire Spreading ◽  
The Impact

Forest fire is one of the most frequent, fast spreading and destructive natural disasters. Many countries have developed their own fire prediction model and computational systems to predict the fire spreading, however, the user interaction, display effect and prediction accuracy have not yet met the requirements for firefighting in real forest fire events. The forest fire spreading is a complex process affected by multi-factors. Understanding the relationships between these multi-factors and the forest fire spreading trend is vital to predicting the fire spreading promptly and accurately to make the strategy in extinguishing the forest fire. In this paper, we propose and develop a three-dimensional (3D) forest fire spreading simulation system, FFSimulator, to visualize the impact of multi-factors to the fire spread. FFSimultor integrates the multi-factor analysis approach with the FARSITE prediction model to improve the prediction. The FFSimulator developed applies 3D scene organization, template-based vector data mapping and overlaps visualization techniques to provide a 3D dynamic visualization of large-scale forest fire. The 3D multi-factors superposition analysis simulates the impacts of individual factor and multi-factors on the trend of surface fire spreading, which can be used to identify the key sites for the prevention and the control of forest fires. The system has been tested and evaluated using real data of Shanghan forest fire.

Energy-Efficient Low Duty Cycle MAC Protocol for Wireless Body Area Networks

2009 ◽  
Vol 13 (6) ◽  
pp. 915-925 ◽  
Author(s):  
Stevan Jovica Marinkovic ◽  
Emanuel Mihai Popovici ◽  
Christian Spagnol ◽  
Stephen Faul ◽  
William Peter Marnane
Keyword(s):  
Duty Cycle ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area ◽  
Low Duty Cycle

scholarly journals PENGENDALIAN KEBAKARAN HUTAN DI KPH MADIUN PERUM PERHUTANI UNIT II JAWA TIMUR Forest Fire Management in KPH Madiun Perum Perhutani Unit II East Java

2018 ◽  
Vol 8 (3) ◽  
pp. 183-190
Author(s):  
Bambang Hero Saharjo ◽  
Elga Tiara Putra
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Fire Management ◽  
Qualitative Description ◽  
Local People ◽  
Trigger Factors ◽  
Community Based ◽  
Fire Monitoring ◽  
Forest Fire Management ◽  
In Fire

Forest fires bring substantial losses in many aspects, especially for forest resources. Therefore, forest fire management should take into account at each of Indonesian forest area. KPH Madiun has suffered from a large forest fire in the recent 5 years, thus research to analyze the trigger factors and an effort to manage forest fire should be gone. This research used data triangular methods for data collecting and qualitative description analyse to analyze the data. Results of this research clearly shows that forest fire in KPH Madiun was mainly came from local people activities such as, burning the forest to clear the land (43%) and due to social conflict (15%). The forest fire prepetion emphasized on social approach in community based forest management (CBFM) by planting medicinal plant and establishing the forest Danger Index (FDI) board. The local people participated in fire extinction (49%), while the other not participate yet. There was no fire truck and fire monitoring tower found in the study area. Finding and arresting the suspect behind forest fire is the most difficult thing to do in post-fire management.Key words: forest fire, local people, fire management

A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques

2015 ◽  
Vol 45 (7) ◽  
pp. 783-792 ◽  
Author(s):  
Chi Yuan ◽  
Youmin Zhang ◽  
Zhixiang Liu
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Forest Fire ◽  
Forest Fires ◽  
Cooperative Control ◽  
Fire Detection ◽  
Fire Monitoring ◽  
Diagnosis And Prognosis ◽  
Aerial Vehicles ◽  
Remote Sensing Techniques ◽  
Operational Range

Because of their rapid maneuverability, extended operational range, and improved personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great potential for monitoring, detecting, and fighting forest fires. Over the last decade, UAV-based forest fire fighting technology has shown increasing promise. This paper presents a systematic overview of current progress in this field. First, a brief review of the development and system architecture of UAV systems for forest fire monitoring, detection, and fighting is provided. Next, technologies related to UAV forest fire monitoring, detection, and fighting are briefly reviewed, including those associated with fire detection, diagnosis, and prognosis, image vibration elimination, and cooperative control of UAVs. The final section outlines existing challenges and potential solutions in the application of UAVs to forest firefighting.

scholarly journals Navigation and Piloting System of Unmanned Aerial Vehicle for Forest Fire Monitoring

2020 ◽  
pp. 194-203
Author(s):  
O.V. Skudneva ◽  
◽  
S.V. Koptev ◽  
S.V. Ivantsov ◽  
◽  
...  
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Biological Diversity ◽  
Control Point ◽  
Effective Control ◽  
Ground Control ◽  
Control Panel ◽  
Forest Protection ◽  
Fire Monitoring ◽  
Starting Point

Forest fires are a common natural disaster all over the world. A great number of fires occur annually in the forest ecosystems of the European North of Russia for natural reasons and as a result of anthropogenic impacts. One of the urgent problems of forestry is the organization of effective control of forest fires. Herewith, it is important to quickly detect the source of fire, as well as to monitor the development of the fire, and to coordinate the actions of the staff of the ground forest protection services. Unmanned aerial vehicles (UAV) of different classes are increasingly used for these purposes. For forestry experience and, especially for forest fire monitoring, the most practical are helicopter-type UAV, which do not require special training of staff. Such devices can operate in the mode of “fire tower” and in the mode of monitoring the edge of the fire with an option to reset information pennants at certain points. The use of UAV is an effective means of monitoring the fire situation in addition to existing methods and technologies, and especially in cases of impossibility of using highresolution satellite images for operative tasks. For the effective operation of UAV in the area of active forest fires and, thus, strong smoke, navigation and piloting systems are necessary to perform safe flights outside the action of the ground control panel located at the starting point. The aim of this work is to develop a navigation and piloting system for UAV, which can be used in the area of limitation of ground control point. The use of such systems will allow monitoring of the fire situation in real time, which is especially important in the organization of protection and suppression of forest fires in large areas of nature reserves, where the priority is to preserve the biological diversity of natural ecosystems and unique landscapes. This article may be of interest to forestry specialists, developers of UAV and equipment, fire protection and the Ministry of Emergency Situations staff, as well as to engineering students to gain experience with UAV.

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