Multi-Objective Mapping Method for 3D Environmental Sensor Network Deployment

Yung Po Tsang, King Lun Choy, Chun Ho Wu, George To Sum Ho

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


Effective deployment of the emerging environmental sensor network in environmental mapping has become essential in numerous industrial applications. The essential factors for deployment include cost, coverage, connectivity, airflow of heating, ventilation, and air conditioning, system lifetime, and fault tolerance. In this letter, a three-stage deployment scheme is proposed to formulate the above-mentioned considerations, and the fuzzy temperature window is established to adjust sensor activation times over various ambient temperatures. To optimize the deployment effectively, a multi-response Taguchi-guided k-means clustering is proposed to embed in the genetic algorithm, where an improved set of the initial population is formulated and system parameters are optimized. Therefore, the computational time for repeated deployment is shortened, while the solution convergence can be improved.

Original languageEnglish
Pages (from-to)1231-1235
Number of pages5
JournalIEEE Communications Letters
Issue number7
Publication statusPublished - Jul 2019


  • Environmental sensor network
  • genetic algorithm
  • mapping method
  • multi-objective optimization
  • multi-responses Taguchi method

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


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