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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A Coverage Optimization Method for WSNs Based on the Improved Weed Algorithm.

Fang Zhu1, Wenhao Wang1

  • 1School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.

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|September 10, 2021
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Summary
This summary is machine-generated.

This study introduces an improved hybrid weed algorithm (LRDE_IWO) to optimize wireless sensor network (WSN) coverage, effectively addressing uneven node distribution and enhancing monitoring area completeness.

Keywords:
Levy flightcoverage optimizationdifferential evolutionrandom walkwireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) face coverage challenges due to uneven node distribution, leading to over-coverage and monitoring gaps.
  • Optimizing node placement is crucial for efficient and comprehensive WSN operation.

Purpose of the Study:

  • To develop a novel coverage optimization model for WSNs.
  • To propose an improved hybrid strategy weed algorithm (LRDE_IWO) for enhanced network coverage.

Main Methods:

  • Establishing a network coverage optimization model.
  • Implementing an improved weed algorithm (LRDE_IWO) with enhanced seed diffusion, a disturbance mechanism (Levy flight and random walk), and differential evolution for competition.
  • Applying the LRDE_IWO algorithm to WSN coverage optimization.

Main Results:

  • The LRDE_IWO algorithm achieved a 1% to 6% increase in coverage rate compared to IWO and DE_IWO.
  • LRDE_IWO demonstrated significant improvements over ALO, FOA, and IIWO, with coverage increases of 4.10%, 2.73%, and 1.19%, respectively.
  • Simulation results validate the superiority of LRDE_IWO in WSN coverage optimization.

Conclusions:

  • The proposed LRDE_IWO algorithm effectively optimizes WSN coverage.
  • The improvements in the weed algorithm enhance global and local search capabilities, prevent premature convergence, and accelerate optimization.
  • LRDE_IWO offers a superior solution for achieving comprehensive monitoring in wireless sensor networks.