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Deployment Optimization Algorithms in Wireless Sensor Networks for Smart Cities: A Systematic Mapping Study.

Huda M Abdulwahid1,2,3, Alok Mishra1,2,4

  • 1Department of Modeling and Design of Engineering Systems (MODES), Atilim University, Ankara 06830, Turkey.

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Summary
This summary is machine-generated.

This study reviews optimization algorithms for wireless sensor network (WSN) deployment in smart cities. Swarm optimization algorithms are frequently updated to enhance sensor coverage and connectivity.

Keywords:
connectivitycoveragedeploymentmeta-heuristicsmart citywireless sensor network (WSN)

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Area of Science:

  • Computer Science
  • Engineering
  • Smart City Technologies

Background:

  • Smart cities rely on monitoring systems, often utilizing wireless sensor networks (WSNs).
  • Effective WSN deployment is crucial for data gathering, processing, and transmission in urban environments.
  • Sensor node deployment presents significant challenges in achieving optimal coverage and connectivity.

Purpose of the Study:

  • To systematically map recent research (2015-2022) on solving WSN deployment problems.
  • To focus on the application of heuristic and meta-heuristic optimization algorithms for sensor deployment.
  • To identify trends and provide insights for future algorithm development in WSN deployment.

Main Methods:

  • Systematic mapping study of scientific literature.
  • Analysis of studies focusing on optimization algorithms for WSN deployment.
  • Categorization and synthesis of research findings from 2015-2022.

Main Results:

  • A significant portion (35%) of reviewed studies updated swarm optimization algorithms for WSN deployment.
  • Identified heuristic and meta-heuristic algorithms as key approaches for addressing deployment challenges.
  • Provided a comparison table and overview of smart city and WSN concepts.

Conclusions:

  • Optimization algorithms, particularly swarm-based ones, are vital for efficient WSN deployment.
  • Further research can build upon these findings to develop novel deployment strategies.
  • The study offers valuable insights for researchers and practitioners in smart city and WSN fields.