DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION
Deployment is one of several important issues in Wireless Sensor Network (WSN). During WSN deployment, the connectivity between each sensor nodes must be considered carefully to create reliable communication. In this research, we propose a WSN deployment tool based on Particle Swarm Optimization (PS...
| Main Authors: | , |
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| Format: | Thesis |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2012
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| Subjects: |
| _version_ | 1826045797777539072 |
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| author | , ZAWIYAH SAHARUNA , Widyawan, S.T., M. Sc., Ph.D. |
| author_facet | , ZAWIYAH SAHARUNA , Widyawan, S.T., M. Sc., Ph.D. |
| author_sort | , ZAWIYAH SAHARUNA |
| collection | UGM |
| description | Deployment is one of several important issues in Wireless Sensor Network
(WSN). During WSN deployment, the connectivity between each sensor nodes
must be considered carefully to create reliable communication. In this research,
we propose a WSN deployment tool based on Particle Swarm Optimization (PSO)
algorithm with connectivity of the wireless to be concern. Implementation of
the PSO algorithm is focused to optimize received power of each sensor node
based on its position in the 2D space. Therefore, every sensor node in the network
will be able to reach its best position and improves the network connectivity.
There are two scenarios in this research, the first scenario using the inertia
weight in the calculation of velocity and the second scenario using constriction
factor (K) and existing control at the time of updating the velocity and position.
Both of scenarios involve 30 particles, 10 sensor nodes, and the size of
deployment area is 500x500m2.
The deployment results using both scenarios can form a network with well
connectivity. The rate of convergence in the first scenario occurs after 23
iterations and the second scenario after 29 iterations. The results show that the
PSO algorithm is suitable to be implemented for the case of sensor node
deployment. |
| first_indexed | 2024-03-13T22:43:02Z |
| format | Thesis |
| id | oai:generic.eprints.org:100566 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T22:43:02Z |
| publishDate | 2012 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1005662016-03-04T08:49:36Z https://repository.ugm.ac.id/100566/ DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION , ZAWIYAH SAHARUNA , Widyawan, S.T., M. Sc., Ph.D. ETD Deployment is one of several important issues in Wireless Sensor Network (WSN). During WSN deployment, the connectivity between each sensor nodes must be considered carefully to create reliable communication. In this research, we propose a WSN deployment tool based on Particle Swarm Optimization (PSO) algorithm with connectivity of the wireless to be concern. Implementation of the PSO algorithm is focused to optimize received power of each sensor node based on its position in the 2D space. Therefore, every sensor node in the network will be able to reach its best position and improves the network connectivity. There are two scenarios in this research, the first scenario using the inertia weight in the calculation of velocity and the second scenario using constriction factor (K) and existing control at the time of updating the velocity and position. Both of scenarios involve 30 particles, 10 sensor nodes, and the size of deployment area is 500x500m2. The deployment results using both scenarios can form a network with well connectivity. The rate of convergence in the first scenario occurs after 23 iterations and the second scenario after 29 iterations. The results show that the PSO algorithm is suitable to be implemented for the case of sensor node deployment. [Yogyakarta] : Universitas Gadjah Mada 2012 Thesis NonPeerReviewed , ZAWIYAH SAHARUNA and , Widyawan, S.T., M. Sc., Ph.D. (2012) DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=57090 |
| spellingShingle | ETD , ZAWIYAH SAHARUNA , Widyawan, S.T., M. Sc., Ph.D. DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION |
| title | DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION |
| title_full | DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION |
| title_fullStr | DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION |
| title_full_unstemmed | DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION |
| title_short | DEPLOYMENT JARINGAN SENSOR NIRKABEL BERDASARKAN ALGORITMA PARTICLE SWARM OPTIMIZATION |
| title_sort | deployment jaringan sensor nirkabel berdasarkan algoritma particle swarm optimization |
| topic | ETD |
| work_keys_str_mv | AT zawiyahsaharuna deploymentjaringansensornirkabelberdasarkanalgoritmaparticleswarmoptimization AT widyawanstmscphd deploymentjaringansensornirkabelberdasarkanalgoritmaparticleswarmoptimization |