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Fitness function improvement of evolutionary algorithms used in sensor network optimisations

Hoseinpour, A ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1049/iet-net.2017.0251
  3. Publisher: Institution of Engineering and Technology , 2018
  4. Abstract:
  5. Recent advances in wireless sensor network (WSN) technology are enabling the deployment of large-scale and collaborative sensor networks. WSNs face several challenges such as security, localisation, and energy consumption. To resolve these issues, evolutionary algorithms can be helpful. The core of every evolutionary algorithm is its fitness function. The drawbacks of fitness functions used in the literature will be investigated and some solutions will be suggested. The simulation results clearly show the improvement due to suggested solutions. © The Institution of Engineering and Technology 2017
  6. Keywords:
  7. Energy utilization ; Evolutionary algorithms ; Health ; Collaborative sensor networks ; Fitness functions ; Localisation ; Optimisations ; Wireless sensor networks
  8. Source: IET Networks ; Volume 7, Issue 3 , 2018 , Pages 91-94 ; 20474954 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8353063