scholarly journals Forest Monitoring and Wildland Early Fire Detection by a Hierarchical Wireless Sensor Network

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Antonio Molina-Pico ◽  
David Cuesta-Frau ◽  
Alvaro Araujo ◽  
Javier Alejandre ◽  
Alba Rozas
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Forest Fires ◽  
Communication Systems ◽  
Fire Detection ◽  
Fire Fighting ◽  
Geographical Information ◽  
Forest Monitoring ◽  
Wireless Sensor ◽  
Early Fire Detection

A wildland fire is an uncontrolled fire that occurs mainly in forest areas, although it can also invade urban or agricultural areas. Among the main causes of wildfires, human factors, either intentional or accidental, are the most usual ones. The number and impact of forest fires are expected to grow as a consequence of the global warming. In order to fight against these disasters, it is necessary to adopt a comprehensive, multifaceted approach that enables a continuous situational awareness and instant responsiveness. This paper describes a hierarchical wireless sensor network aimed atearly fire detection in risky areas, integrated with the fire fighting command centres, geographical information systems, and fire simulators. This configuration has been successfully tested in two fire simulations involving all the key players in fire fighting operations: fire brigades, communication systems, and aerial, coordination, and land means.

scholarly journals Fire detection and notification using a Zigbee wireless sensor network

2021 ◽  
Vol I (I) ◽  
Author(s):  
Priyadharshini S
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Forest Fire ◽  
Forest Fires ◽  
Detection System ◽  
Fire Detection ◽  
Wireless Sensor ◽  
And Control ◽  
Forest Conditions

Forest fires are the most common threat in the woods. A combination of natural and human-made factors contributes to forest fires. Forest fires destroy trees, which are essential to produce oxygen, which we need to live. This new Zigbee-based wireless sensor network is being developed to overcome the limitations of existing technologies like the MODIS satellite-based detection system and a basic wireless sensor network. It's difficult to contain a forest fire that wasn't predicted or noticed in time. As a result, it's critical to catch a wildfire early enough before it spreads too far. Using a GSM device, the proposed method would gather data on forest conditions such as temperature, humidity, smoke, and flames, and deliver it to the appropriate authorities. There are three parts to the project's concept. Modules for sensors, gateways, and control centres make up the three sections. This project's main objective is to benefit others.

Towards Development of a Low Cost Early Fire Detection System Using Wireless Sensor Network and Machine Vision

2016 ◽  
Vol 95 (2) ◽  
pp. 475-489 ◽  
Author(s):  
Kehkashan Kanwal ◽  
Aasia Liaquat ◽  
Mansoor Mughal ◽  
Abdul Rehman Abbasi ◽  
Muhammad Aamir
Keyword(s):  
Wireless Sensor Network ◽  
Machine Vision ◽  
Sensor Network ◽  
Detection System ◽  
Low Cost ◽  
Fire Detection ◽  
Wireless Sensor ◽  
Fire Detection System ◽  
Early Fire Detection

scholarly journals Evaluation of a Wireless Sensor Network with Low Cost and Low Energy Consumption for Fire Detection and Monitoring

2014 ◽  
Vol 51 (4) ◽  
pp. 971-993 ◽  
Author(s):  
Xavier Silvani ◽  
Frédéric Morandini ◽  
Eric Innocenti ◽  
Sylvestre Peres
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Cost ◽  
Fire Detection ◽  
Low Energy ◽  
Wireless Sensor ◽  
Low Energy Consumption

scholarly journals JSMCRP: Cross-Layer Architecture based Joint-Synchronous MAC and Routing Protocol for Wireless Sensor Network

2021 ◽  
Vol 19 (1) ◽  
pp. 94-113
Author(s):  
Shruti Birur Viswanath ◽  
Thippeswamy Muddenahalli Nagendrappa ◽  
Krishna Rao Venkatesh
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Communication Systems ◽  
Ieee 802.15.4 ◽  
Dynamic Network ◽  
Link Quality ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Monitoring And Control

The exponential rise in wireless technologies and allied applications has revitalized academia-industries to develop more efficient and economic routing solution to meet Quality-of-Service (QoS) provision. Amongst the major wireless communication systems, Wireless Sensor Network (WSN) is the most sought technology for defense surveillance, healthcare monitoring, industrial monitoring and control, civic and strategic infrastructure surveillance etc. Additionally, the up surge in Internet of Things (IoT) and Machine to Machine (M2M) communication systems too have broadened the horizon for WSNs based communication. However, the parallel increase in communication environment, complex network conditions etc confine efficacy of the classical WSN protocols. Dynamic network and node conditions often force classical protocols to undergo pre-mature link outage, delayed transmission, energy exhaustion and eventual QoS violation. To address such issues enhancing Median Access Control (MAC) and allied routing decision can have vital significance. However major existing efforts either focus on MAC enhancement or routing optimization, even under static WSN topology. Considering it as motive in this paper a highly robust “Cross-layer architecture based Joint-Synchronous MAC and Routing Protocol for WSN communication (JSMCRP)” has been developed. Being cross layer model JSMCRP protocol employs Application Layer, Network Layer, MAC Layer and PHY Layer to perform Network Adaptive MAC scheduling and Dynamic Routing Decision. JSMCRP employs Data Traffic Assessment, Prioritization and Scheduling (DTAPS), Proactive Network Monitoring and Knowledge (PNMK), Dynamic Congestion Index Estimation (DCIE), Adaptive Link Quality, Packet Injection Rate and Cumulative Rank Sensitive Routing Decision (CRSRD) to perform routing decision. Additionally, exploiting dynamic network/node conditions it performs Cognitive MAC scheduling to ensure QoS centric communication over IEEE 802.15.4 protocol stack. JSMCRP exhibited higher PDR, lower PLR and low delay under varying network conditions, suitable for real-time communication over constrained mobile WSN conditions.

scholarly journals Application of Wireless Sensor Networks to Prevent the Spread of Forest Fires

2021 ◽  
Vol 11 (11) ◽  
pp. 199-203
Author(s):  
Le Quang Bon ◽  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Optical Sensors ◽  
Forest Fires ◽  
Digital Camera ◽  
Partial Solution ◽  
Optical Systems ◽  
Wireless Sensor ◽  
Network Systems ◽  
Camera Systems

The objective of this article is to identify current trends and prospects for the use of technical facilities and installations to prevent the spread of wildfires by analyzing the literature. The analysis of the literature has allowed an analysis of different ground-based wildfire detection and monitoring systems: optical sensors and digital camera systems, and wireless sensor network systems. The author concludes that the wireless sensor network can be seen as a partial solution when used in combination with other technologies. Keywords—observation towers, optical systems, optical sensors, digital cameras, wireless sensor network.

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