A fuzzy C-mean cluster based shaking elimination method for video of forest fire prevention

2015 ◽  
Author(s):  
Feng Zhao ◽  
Xiaojie Fang ◽  
Xuejun Sha ◽  
Pengfei Sun
Keyword(s):  
Forest Fire ◽  
Fire Prevention ◽  
Elimination Method ◽  
Forest Fire Prevention

La protezione dagli incendi boschivi nelle Alpi centro-occidentali | Forest Fire-Prevention in the Central Eastern Alps

2000 ◽  
Vol 151 (9) ◽  
pp. 325-335 ◽  
Author(s):  
Giovanni Bovio
Keyword(s):  
Forest Fire ◽  
Eastern Alps ◽  
Fire Prevention ◽  
Forest Fire Prevention ◽  
Central Eastern

Important forest fire prevention developments of the Lombardy, Piedmont and Aosta Valley regions are highlighted in this study and a certain number of activities considered able to improve the situation are proposed.

scholarly journals Forest Fire Prevention Using WSN Assisted IOT

2018 ◽  
Vol 7 (3.12) ◽  
pp. 1317 ◽  
Author(s):  
Vrince Vimal ◽  
Madhav Ji Nigam
Keyword(s):  
Internet Of Things ◽  
Sensor Network ◽  
Forest Fire ◽  
Clustering Algorithm ◽  
Base Station ◽  
Sensor Nodes ◽  
Fire Prevention ◽  
New Era ◽  
Data Flows ◽  
Forest Fire Prevention

Internet of Things is the mainstay of the new era since its application becomes the future of day-to-day life. This work targets the IoT network assisted by WSN to prevent forest fire. We propose two-layer architecture of sensor network assisted by IoT enabled UAVs. The data flows in the proposed architecture in bottom-up fashion i.e., data is sensed by the nodes, which are deployed in the forest area (and sense temperature continuously). This data is transmitted to upper layer consisting of UAVs, which take appropriate action (to sprinkle water to bring temperature down to prevent fire). All the UAVs are interconnected to each other as well as to base station. The sensor nodes are clustered using two-step clustering algorithm, which takes care of the isolated nodes. The scheme has been equated to another WSN assisted IoT clustering technique. The proposed scheme outperforms the existing in terms of congestion at the UAV stations, number of alive nodes and remaining energy of the network.  

Fuzzy-Based Forest Fire Prevention and Detection by Wireless Sensor Networks

2018 ◽  
pp. 478-488 ◽  
Author(s):  
Josué Toledo-Castro ◽  
Iván Santos-González ◽  
Pino Caballero-Gil ◽  
Candelaria Hernández-Goya ◽  
Nayra Rodríguez-Pérez ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Forest Fire ◽  
Wireless Sensor ◽  
Fire Prevention ◽  
Forest Fire Prevention
Sign in / Sign up

Export Citation Format

Share Document