Developing a Smart Wireless Sensor Network for Waste Management in Cities

  • Palvir Gill
  • , Jack Devey
  • , Moad Idrissi
  • , Haitham Mahmoud
  • , Shaheed Parvez
  • , Rehan Bhana*
  • *Corresponding author for this work

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

Abstract

As rapid global urbanisation is expected to peak by 2050, the need for smart and sustainable infrastructure to manage and combat urban waste effectively has become increasingly urgent. This study addresses the critical issue of waste management in expanding cities through the proposal of a novel wireless sensor network (WSN) aimed at optimising waste collection and processing by assisting contemporary procedures through the integration of recent advances in networking and unmanned aerial vehicles (UAVs). With the aim of investigating the efficacy of our proposals, various assessments and analyses within the Cooja network simulator are conducted. In conjunction to this, a real-life case study of major transport stations within Whitechapel, London is also considered to provide enhanced insight into the network’s effectiveness. The developed model demonstrates the system’s capability of enhancing waste collection services with a minimal average transmission delay of 125ms experienced across all simulated nodes. Finally, the paper provides all simulation and node source code, encouraging future development and refinement in smart waste management and Internet of Things (IoT) solutions, enabling future integration with artificial intelligence for further optimisations.
Original languageEnglish
Title of host publication Advances on Intelligent Computing and Data Science II
PublisherSpringer
ISBN (Print)9783031913518
DOIs
Publication statusPublished (VoR) - 22 Jul 2025
EventThe 4th International Conference of Advanced Computing and Informatics -
Duration: 16 Dec 202417 Dec 2024

Conference

ConferenceThe 4th International Conference of Advanced Computing and Informatics
Period16/12/2417/12/24

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