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A Novel Mixed-Variable Fireworks Optimization Algorithm for Path and Time Sequence Optimization in WRSNs

  • Chengkai Xia
  • Zhenchun Wei
  • Zengwei Lyu
  • Liangliang Wang
  • Fei Liu
  • Lin FengEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 262)

Abstract

To prolong the lifespan of the network, the auxiliary charging equipment is introduced into the traditional Wireless Sensor Networks (WSNs), known as Wireless Rechargeable Sensor Networks (WRSNs). Different from existing researches, in this paper, a periodic charging and data collecting model in WRSNs is proposed to keep the network working perpetually and improve data collection ratio. Meanwhile, the Wireless Charging Vehicle (WCV) has more working patterns, charging, waiting, and collecting data when staying at the sensor nodes. Then, the simultaneous optimization for the traveling path and time sequence is formulated to be a mixed-variable optimization problem. A novel Mixed-Variable Fireworks Optimization Algorithm (MVFOA) is proposed to solve it. A large number of experiments show the feasibility of the MVFOA, and MVFOA is superior to the Greedy Algorithm.

Keywords

Wireless rechargeable sensor networks Mixed-variable optimization Fireworks algorithm 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Chengkai Xia
    • 1
  • Zhenchun Wei
    • 1
    • 2
    • 3
  • Zengwei Lyu
    • 1
  • Liangliang Wang
    • 1
  • Fei Liu
    • 1
  • Lin Feng
    • 1
    Email author
  1. 1.School of Computer and InformationHefei University of TechnologyHefeiChina
  2. 2.Engineering Research Center of Safety Critical Industrial Measurement and Control Technology, Ministry of EducationHefeiChina
  3. 3.Key Laboratory of Industry Safety and Emergency TechnologyHefeiChina

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