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Energy Resource Optimization for Home Area Sensor Networks Using Discrete Venus Flytrap Algorithm
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The energy resource selection (ERS) problem for home area sensor network is defined as the selection of the optimal external energy resource from the energy source station for the sensor nodes to avoid uninterrupted service and extends the network lifespan. In this paper, the discrete Venus fly-trap search algorithm (DVFS) is proposed to select the optimal energy source for sensor nodes in the HASN. Discrete Venus fly-trap search algorithm is a population-based, non-swarm intelligence search algorithm that copycats the foraging behaviors of Venus fly-trap plant.
Title: Energy Resource Optimization for Home Area Sensor Networks Using Discrete Venus Flytrap Algorithm
Description:
The energy resource selection (ERS) problem for home area sensor network is defined as the selection of the optimal external energy resource from the energy source station for the sensor nodes to avoid uninterrupted service and extends the network lifespan.
In this paper, the discrete Venus fly-trap search algorithm (DVFS) is proposed to select the optimal energy source for sensor nodes in the HASN.
Discrete Venus fly-trap search algorithm is a population-based, non-swarm intelligence search algorithm that copycats the foraging behaviors of Venus fly-trap plant.
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