A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network
In order to solve the problems of security hidden dangers in the process of node location due to the characteristics of limited resources, open deployment, and being unattended in wireless sensor networks, this paper proposes a mainstream location algorithm combined with the current WSN node. By red...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/1270029 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832545830508167168 |
|---|---|
| author | Jie Liang Lu Wang Qingchang Ji |
| author_facet | Jie Liang Lu Wang Qingchang Ji |
| author_sort | Jie Liang |
| collection | DOAJ |
| description | In order to solve the problems of security hidden dangers in the process of node location due to the characteristics of limited resources, open deployment, and being unattended in wireless sensor networks, this paper proposes a mainstream location algorithm combined with the current WSN node. By reducing the error in network positioning, the wireless sensor network positioning technology is put into practical benefits, and the WSN emitter positioning based on node resources and limited capacity is realized. Some positioning technologies are applied to emitter positioning, and some meaningful results are obtained. Aiming at the problems existing in the positioning algorithm of the main nodes in the wireless sensor network, the power consumption and positioning accuracy of the positioning technology are deeply studied to reduce the positioning error. Experiments show that when nodes are sent to different states, the number of nodes 150 remains the same, the communication radius is the same, the environment output is the same, and the number of bones in the network can be changed. After many simulation experiments, both algorithms can see the positioning result curve of the positioning program affected by the anchor node part. |
| format | Article |
| id | doaj-art-0e90d43dc9114107b9e877cfbc701ed5 |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-0e90d43dc9114107b9e877cfbc701ed52025-02-03T07:24:26ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/1270029A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN NetworkJie Liang0Lu Wang1Qingchang Ji2College of Electrical and Automation EngineeringCollege of Electrical and Automation EngineeringCollege of Electrical and Automation EngineeringIn order to solve the problems of security hidden dangers in the process of node location due to the characteristics of limited resources, open deployment, and being unattended in wireless sensor networks, this paper proposes a mainstream location algorithm combined with the current WSN node. By reducing the error in network positioning, the wireless sensor network positioning technology is put into practical benefits, and the WSN emitter positioning based on node resources and limited capacity is realized. Some positioning technologies are applied to emitter positioning, and some meaningful results are obtained. Aiming at the problems existing in the positioning algorithm of the main nodes in the wireless sensor network, the power consumption and positioning accuracy of the positioning technology are deeply studied to reduce the positioning error. Experiments show that when nodes are sent to different states, the number of nodes 150 remains the same, the communication radius is the same, the environment output is the same, and the number of bones in the network can be changed. After many simulation experiments, both algorithms can see the positioning result curve of the positioning program affected by the anchor node part.http://dx.doi.org/10.1155/2022/1270029 |
| spellingShingle | Jie Liang Lu Wang Qingchang Ji A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network Journal of Electrical and Computer Engineering |
| title | A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network |
| title_full | A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network |
| title_fullStr | A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network |
| title_full_unstemmed | A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network |
| title_short | A Particle Swarm Optimization Algorithm for Deployment of Sensor Nodes in WSN Network |
| title_sort | particle swarm optimization algorithm for deployment of sensor nodes in wsn network |
| url | http://dx.doi.org/10.1155/2022/1270029 |
| work_keys_str_mv | AT jieliang aparticleswarmoptimizationalgorithmfordeploymentofsensornodesinwsnnetwork AT luwang aparticleswarmoptimizationalgorithmfordeploymentofsensornodesinwsnnetwork AT qingchangji aparticleswarmoptimizationalgorithmfordeploymentofsensornodesinwsnnetwork AT jieliang particleswarmoptimizationalgorithmfordeploymentofsensornodesinwsnnetwork AT luwang particleswarmoptimizationalgorithmfordeploymentofsensornodesinwsnnetwork AT qingchangji particleswarmoptimizationalgorithmfordeploymentofsensornodesinwsnnetwork |