A Smartphone Crowdsensing System Enabling Environmental Crowdsourcing for Municipality Resource Allocation with LSTM Stochastic Prediction

A Smartphone Crowdsensing System Enabling Environmental Crowdsourcing for Municipality Resource Allocation with LSTM Stochastic Prediction

Resource allocation of the availability of certain departments for dealing with emergency recovery is of high importance in municipalities. Efficient planning for facing possible disasters in the coverage area of a municipality provides reassurance for citizens. Citizens can assist with such malfunc...

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Bibliographic Details
Main Authors: Theodoros Anagnostopoulos, Theodoros Xanthopoulos, Yannis Psaromiligkos
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
smartphone crowdsensing
environmental crowdsourcing
edge mobile applications
stochastic prediction
LSTM
department resource allocation
Online Access:https://www.mdpi.com/1424-8220/20/14/3966

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