Wildfires are an ever-increasing problem, exacerbated by the current global warming trends. Accordingly, it is becoming more and more relevant to monitor factors influencing their outbreaks and spreading, in order to both preemptively act on the most risky areas, and guide interventions in case an outbreak occurs. Different approaches have been proposed during the decades tackling this issue, which however require large datasets that are difficult and expensive to gather.In this paper, we propose to address the management of wildfires by empowering existing centralised models with a decentralised component. Leveraging dedicated monitoring drones together with smartphones held by experts and intervention corps, a decentralised system could both enhance data collection and assist interventions. As conditions near wildfires require strong fault-tolerance guarantees, we propose to develop such an application through aggregate programming, a novel approach to the resilient programming of decentralised systems.

Aggregate Drone Monitoring of Wildfires

Audrito, Giorgio;Ottina, Marco
2022-01-01

Abstract

Wildfires are an ever-increasing problem, exacerbated by the current global warming trends. Accordingly, it is becoming more and more relevant to monitor factors influencing their outbreaks and spreading, in order to both preemptively act on the most risky areas, and guide interventions in case an outbreak occurs. Different approaches have been proposed during the decades tackling this issue, which however require large datasets that are difficult and expensive to gather.In this paper, we propose to address the management of wildfires by empowering existing centralised models with a decentralised component. Leveraging dedicated monitoring drones together with smartphones held by experts and intervention corps, a decentralised system could both enhance data collection and assist interventions. As conditions near wildfires require strong fault-tolerance guarantees, we propose to develop such an application through aggregate programming, a novel approach to the resilient programming of decentralised systems.
2022
Workshop on COMMunity-OrieNted WEARrable Computing Systems
Falerna, Italy
September 12-15, 2022
IEEE Intl. Conf. on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress
IEEE
1
6
978-1-6654-6297-6
aggregate programming; edge intelligence; fire prevention; monitoring;
Audrito, Giorgio; Ottina, Marco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1889563
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