This paper investigates the problem of finding the minimal exposure paths in MWSNs (hereinafter MMEP). First, we formulate the MMEP problem.
An Elite Hybrid Particle Swarm Optimization for Solving Minimal ...
www.ncbi.nlm.nih.gov › PMC7248878
May 1, 2020 · This paper investigates the problem of finding the minimal exposure paths in MWSNs (hereinafter MMEP). First, we formulate the MMEP problem.
May 1, 2020 · The experimental results indicate that HPSO-MMEP is suitable for the converted MMEP problem and performs much better than existing algorithms.
MWSNs can improve network coverage quality which reflects how well a region of interest is monitored or tracked by sensors. To evaluate the coverage quality of ...
TL;DR: This paper investigates the problem of finding the minimal exposure paths in MWSNs and proposes HPSO-MMEP algorithm, which is an integration of ...
May 30, 2020 · Bibliographic details on An Elite Hybrid Particle Swarm Optimization for Solving Minimal Exposure Path Problem in Mobile Wireless Sensor ...
This paper proposes an effective algorithm based on tangent to not only stay as far as possible from static sensors, but also avoid mobile sensors' ...
An Elite Hybrid Particle Swarm Optimization for Solving Minimal Exposure Path Problem in Mobile Wireless Sensor Networks. Article. Full-text available. May ...
The proposed genetic algorithm is stable, convergent and effective when applying in both mobile and static models of WSNs, and compared the minimal exposure ...
An Elite Hybrid Particle Swarm Optimization for Solving Minimal Exposure Path Problem in Mobile Wireless Sensor Networks. Article. Full-text available. May ...