An Apache Spark Framework for IoT-enabled Waste Management in Smart Cities

Gerasimos Vonitsanos, Theodor Panagiotakopoulos, Andreas Kanavos, Achilles Kameas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The diffusion of small low cost sensors has opened new opportunities in terms of designing real-time monitoring systems in several application fields. Internet of Things (IoT) is a new branch of Information and Communication Technologies that connects vast amounts of heterogeneous sensing devices and other smart objects through different network protocols in order to provide large scale interoperability and underpin the development of novel applications. A fundamental application domain regarding IoT refers to smart cities, which offer a fertile ground for implementing technological advances to enhance urban management, ensure environmental sustainability and improve the quality of living. In this paper, we propose an innovative framework aiming at collecting, monitoring and processing streams of data received in real-time by IoT sensor devices while measuring the waste level of waste bins in a distributed environment.

Original languageEnglish
Title of host publicationProceedings of the 12th Hellenic Conference on Artificial Intelligence, SETN 2022
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450395977
DOIs
Publication statusPublished - 7 Sept 2022
Externally publishedYes
Event12th Hellenic Conference on Artificial Intelligence, SETN 2022 - Corfu, Greece
Duration: 7 Sept 20229 Sept 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference12th Hellenic Conference on Artificial Intelligence, SETN 2022
Country/TerritoryGreece
CityCorfu
Period7/09/229/09/22

Keywords

  • Apache Spark
  • Classification
  • Internet of Things (IoT)
  • Machine Learning
  • Smart Cities
  • Urban Waste

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