This preprint is under consideration at Wireless Personal Communications. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
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This research work examines the foraging behavior of the Carnivorous plant called Venus flytrap. These plants derive their nutrients from trapping and consuming insects and another arthropod. Unlike swarm behavior, they forage independently and autonomously. Based on this, a new non-swarm intelligence algorithm called Discrete Venus Fly-Trap Search Algorithm (DVFS) is proposed for energy resource selection for sensor nodes in the Home Area Sensor Network (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.
The search performance of DVFS algorithm is studied by simulating in Wireless Sensor Network Toolbox in Matlab2016. The results expose that the proposed algorithm can identify optimal energy resource selection from the energy source station to provide the power supply to the nodes in HASN for the network lifespan increment.
Keywords
Home Area Sensor Network, Discrete Venus Fly-Trap Search Algorithm, Energy Resource Selection, Non-Swarm Intelligence, Carnivorous Plant, Venus Fly-Trap
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CURRENT STATUS: Under Review
Version 1
Posted 24 Mar, 2021
No community comments so far
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Received 21 Mar, 2021
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On 16 Feb, 2021
First submitted
On 09 Feb, 2021
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Technical Communication
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This preprint is under consideration at Wireless Personal Communications. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 24 Mar, 2021
No community comments so far
Reviews received
Received 21 Mar, 2021
Editor assigned
On 16 Feb, 2021
First submitted
On 09 Feb, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Technical Communication
License:
This work is licensed under a CC BY 4.0 License. Read Full License
This research work examines the foraging behavior of the Carnivorous plant called Venus flytrap. These plants derive their nutrients from trapping and consuming insects and another arthropod. Unlike swarm behavior, they forage independently and autonomously. Based on this, a new non-swarm intelligence algorithm called Discrete Venus Fly-Trap Search Algorithm (DVFS) is proposed for energy resource selection for sensor nodes in the Home Area Sensor Network (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.
The search performance of DVFS algorithm is studied by simulating in Wireless Sensor Network Toolbox in Matlab2016. The results expose that the proposed algorithm can identify optimal energy resource selection from the energy source station to provide the power supply to the nodes in HASN for the network lifespan increment.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
This preprint is available for download as a PDF.
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